diff --git "a/k400/k_1/20240101_134823.log" "b/k400/k_1/20240101_134823.log" new file mode 100644--- /dev/null +++ "b/k400/k_1/20240101_134823.log" @@ -0,0 +1,3724 @@ +2024-01-01 13:48:24,011 - pyskl - INFO - Environment info: +------------------------------------------------------------ +sys.platform: linux +Python: 3.7.11 (default, Jul 27 2021, 14:32:16) [GCC 7.5.0] +CUDA available: True +GPU 0: NVIDIA GeForce RTX 3090 +CUDA_HOME: /usr/local +NVCC: Cuda compilation tools, release 11.5, V11.5.50 +GCC: gcc (Ubuntu 7.5.0-6ubuntu2) 7.5.0 +PyTorch: 1.11.0 +PyTorch compiling details: PyTorch built with: + - GCC 7.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.5.2 (Git Hash a9302535553c73243c632ad3c4c80beec3d19a1e) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.2 + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.11.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + +TorchVision: 0.12.0 +OpenCV: 4.8.1 +MMCV: 1.5.0 +MMCV Compiler: GCC 7.3 +MMCV CUDA Compiler: 11.3 +pyskl: 0.1.0+ +------------------------------------------------------------ + +2024-01-01 13:48:24,746 - pyskl - INFO - Config: modality = 'k' +graph = 'coco_new' +work_dir = './work_dirs/test_prototype/k400/k_1' +model = dict( + type='RecognizerGCN_7_1_1', + backbone=dict( + type='GCN_7_1_1', + tcn_ms_cfg=[(3, 1), (3, 2), (3, 3), (3, 4), ('max', 3), '1x1'], + graph_cfg=dict( + layout='coco_new', + mode='random', + num_filter=8, + init_off=0.04, + init_std=0.02)), + cls_head=dict(type='SimpleHead_7_4_11', num_classes=400, in_channels=384)) +memcached = True +mc_cfg = ('localhost', 22077) +dataset_type = 'PoseDataset' +ann_file = '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl' +left_kp = [1, 3, 5, 7, 9, 11, 13, 15] +right_kp = [2, 4, 6, 8, 10, 12, 14, 16] +box_thr = 0.5 +valid_ratio = 0.0 +train_pipeline = [ + dict(type='DecompressPose', squeeze=True), + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +val_pipeline = [ + dict(type='DecompressPose', squeeze=True), + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +test_pipeline = [ + dict(type='DecompressPose', squeeze=True), + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) +] +data = dict( + videos_per_gpu=64, + workers_per_gpu=16, + test_dataloader=dict(videos_per_gpu=1), + train=dict( + type='PoseDataset', + ann_file= + '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl', + split='train', + pipeline=[ + dict(type='DecompressPose', squeeze=True), + dict(type='UniformSampleFrames', clip_len=100), + dict(type='PoseDecode'), + dict( + type='Flip', + flip_ratio=0.5, + left_kp=[1, 3, 5, 7, 9, 11, 13, 15], + right_kp=[2, 4, 6, 8, 10, 12, 14, 16]), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + box_thr=0.5, + valid_ratio=0.0, + memcached=True, + mc_cfg=('localhost', 22077)), + val=dict( + type='PoseDataset', + ann_file= + '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl', + split='val', + pipeline=[ + dict(type='DecompressPose', squeeze=True), + dict(type='UniformSampleFrames', clip_len=100, num_clips=1), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + box_thr=0.5, + memcached=True, + mc_cfg=('localhost', 22077)), + test=dict( + type='PoseDataset', + ann_file= + '/data1/hao.wang/reproducation/hongda.liu/pyskl_data/k400/k400_hrnet.pkl', + split='val', + pipeline=[ + dict(type='DecompressPose', squeeze=True), + dict(type='UniformSampleFrames', clip_len=100, num_clips=10), + dict(type='PoseDecode'), + dict(type='Kinetics_Transform'), + dict(type='GenSkeFeat', dataset='coco_new', feats=['k']), + dict(type='FormatGCNInput', num_person=2), + dict(type='Collect', keys=['keypoint', 'label'], meta_keys=[]), + dict(type='ToTensor', keys=['keypoint']) + ], + box_thr=0.5, + memcached=True, + mc_cfg=('localhost', 22077))) +optimizer = dict( + type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0005, nesterov=True) +optimizer_config = dict(grad_clip=None) +lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) +total_epochs = 150 +checkpoint_config = dict(interval=1) +evaluation = dict( + interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) +log_config = dict(interval=100, hooks=[dict(type='TextLoggerHook')]) +dist_params = dict(backend='nccl') +gpu_ids = range(0, 1) +resume_from = './work_dirs/test_prototype/k400/k_1/latest.pth' + +2024-01-01 13:48:24,746 - pyskl - INFO - Set random seed to 1956972980, deterministic: False +2024-01-01 13:48:33,477 - pyskl - INFO - 239737 videos remain after valid thresholding +2024-01-01 13:48:47,623 - pyskl - INFO - 19743 videos remain after valid thresholding +2024-01-01 13:48:47,633 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/k400/k_1/latest.pth +2024-01-01 13:48:48,027 - pyskl - INFO - resumed epoch 77, iter 288442 +2024-01-01 13:48:48,030 - pyskl - INFO - Start running, host: hao.wang@gdp, work_dir: /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1 +2024-01-01 13:48:48,030 - pyskl - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_epoch: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistSamplerSeedHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_train_iter: +(VERY_HIGH ) CosineAnnealingLrUpdaterHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook + -------------------- +after_train_iter: +(ABOVE_NORMAL) OptimizerHook +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +after_train_epoch: +(NORMAL ) CheckpointHook +(NORMAL ) DistEvalHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_epoch: +(NORMAL ) DistSamplerSeedHook +(LOW ) IterTimerHook +(VERY_LOW ) TextLoggerHook + -------------------- +before_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_iter: +(LOW ) IterTimerHook + -------------------- +after_val_epoch: +(VERY_LOW ) TextLoggerHook + -------------------- +after_run: +(VERY_LOW ) TextLoggerHook + -------------------- +2024-01-01 13:48:48,030 - pyskl - INFO - workflow: [('train', 1)], max: 150 epochs +2024-01-01 13:48:48,031 - pyskl - INFO - Checkpoints will be saved to /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1 by HardDiskBackend. +2024-01-01 13:52:05,172 - pyskl - INFO - Epoch [78][100/3746] lr: 4.788e-02, eta: 6 days, 5:41:30, time: 1.971, data_time: 1.357, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5867, loss_cls: 4.2166, loss: 4.2166 +2024-01-01 13:53:04,712 - pyskl - INFO - Epoch [78][200/3746] lr: 4.785e-02, eta: 4 days, 1:24:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3264, top5_acc: 0.5900, loss_cls: 4.4210, loss: 4.4210 +2024-01-01 13:54:04,207 - pyskl - INFO - Epoch [78][300/3746] lr: 4.782e-02, eta: 3 days, 7:58:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5980, loss_cls: 4.5977, loss: 4.5977 +2024-01-01 13:55:04,096 - pyskl - INFO - Epoch [78][400/3746] lr: 4.779e-02, eta: 2 days, 23:18:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5689, loss_cls: 4.6104, loss: 4.6104 +2024-01-01 13:56:03,943 - pyskl - INFO - Epoch [78][500/3746] lr: 4.777e-02, eta: 2 days, 18:06:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3237, top5_acc: 0.5775, loss_cls: 4.5495, loss: 4.5495 +2024-01-01 13:57:03,609 - pyskl - INFO - Epoch [78][600/3746] lr: 4.774e-02, eta: 2 days, 14:36:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5792, loss_cls: 4.4716, loss: 4.4716 +2024-01-01 13:58:03,417 - pyskl - INFO - Epoch [78][700/3746] lr: 4.771e-02, eta: 2 days, 12:06:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5787, loss_cls: 4.4332, loss: 4.4332 +2024-01-01 13:59:03,465 - pyskl - INFO - Epoch [78][800/3746] lr: 4.768e-02, eta: 2 days, 10:15:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3283, top5_acc: 0.5769, loss_cls: 4.4074, loss: 4.4074 +2024-01-01 14:00:03,345 - pyskl - INFO - Epoch [78][900/3746] lr: 4.766e-02, eta: 2 days, 8:48:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5823, loss_cls: 4.3399, loss: 4.3399 +2024-01-01 14:01:03,139 - pyskl - INFO - Epoch [78][1000/3746] lr: 4.763e-02, eta: 2 days, 7:38:02, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3269, top5_acc: 0.5825, loss_cls: 4.3593, loss: 4.3593 +2024-01-01 14:02:02,584 - pyskl - INFO - Epoch [78][1100/3746] lr: 4.760e-02, eta: 2 days, 6:38:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5855, loss_cls: 4.3072, loss: 4.3072 +2024-01-01 14:03:02,113 - pyskl - INFO - Epoch [78][1200/3746] lr: 4.757e-02, eta: 2 days, 5:49:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3100, top5_acc: 0.5664, loss_cls: 4.4213, loss: 4.4213 +2024-01-01 14:04:01,787 - pyskl - INFO - Epoch [78][1300/3746] lr: 4.754e-02, eta: 2 days, 5:08:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5813, loss_cls: 4.3315, loss: 4.3315 +2024-01-01 14:05:01,215 - pyskl - INFO - Epoch [78][1400/3746] lr: 4.752e-02, eta: 2 days, 4:31:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3084, top5_acc: 0.5659, loss_cls: 4.3630, loss: 4.3630 +2024-01-01 14:06:00,654 - pyskl - INFO - Epoch [78][1500/3746] lr: 4.749e-02, eta: 2 days, 4:00:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5770, loss_cls: 4.3294, loss: 4.3294 +2024-01-01 14:07:00,287 - pyskl - INFO - Epoch [78][1600/3746] lr: 4.746e-02, eta: 2 days, 3:33:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3259, top5_acc: 0.5883, loss_cls: 4.2771, loss: 4.2771 +2024-01-01 14:07:59,819 - pyskl - INFO - Epoch [78][1700/3746] lr: 4.743e-02, eta: 2 days, 3:08:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5830, loss_cls: 4.3005, loss: 4.3005 +2024-01-01 14:08:59,217 - pyskl - INFO - Epoch [78][1800/3746] lr: 4.740e-02, eta: 2 days, 2:46:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5766, loss_cls: 4.3156, loss: 4.3156 +2024-01-01 14:09:58,578 - pyskl - INFO - Epoch [78][1900/3746] lr: 4.738e-02, eta: 2 days, 2:26:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3145, top5_acc: 0.5723, loss_cls: 4.3429, loss: 4.3429 +2024-01-01 14:10:58,172 - pyskl - INFO - Epoch [78][2000/3746] lr: 4.735e-02, eta: 2 days, 2:08:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3198, top5_acc: 0.5747, loss_cls: 4.3317, loss: 4.3317 +2024-01-01 14:11:57,911 - pyskl - INFO - Epoch [78][2100/3746] lr: 4.732e-02, eta: 2 days, 1:53:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5758, loss_cls: 4.2941, loss: 4.2941 +2024-01-01 14:12:57,927 - pyskl - INFO - Epoch [78][2200/3746] lr: 4.729e-02, eta: 2 days, 1:39:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5837, loss_cls: 4.3131, loss: 4.3131 +2024-01-01 14:13:57,468 - pyskl - INFO - Epoch [78][2300/3746] lr: 4.726e-02, eta: 2 days, 1:25:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3269, top5_acc: 0.5856, loss_cls: 4.2778, loss: 4.2778 +2024-01-01 14:14:57,319 - pyskl - INFO - Epoch [78][2400/3746] lr: 4.724e-02, eta: 2 days, 1:13:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5684, loss_cls: 4.3396, loss: 4.3396 +2024-01-01 14:15:57,017 - pyskl - INFO - Epoch [78][2500/3746] lr: 4.721e-02, eta: 2 days, 1:02:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5858, loss_cls: 4.2609, loss: 4.2609 +2024-01-01 14:16:56,524 - pyskl - INFO - Epoch [78][2600/3746] lr: 4.718e-02, eta: 2 days, 0:51:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5791, loss_cls: 4.2935, loss: 4.2935 +2024-01-01 14:17:56,060 - pyskl - INFO - Epoch [78][2700/3746] lr: 4.715e-02, eta: 2 days, 0:41:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5895, loss_cls: 4.2556, loss: 4.2556 +2024-01-01 14:18:55,525 - pyskl - INFO - Epoch [78][2800/3746] lr: 4.712e-02, eta: 2 days, 0:31:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3222, top5_acc: 0.5825, loss_cls: 4.2746, loss: 4.2746 +2024-01-01 14:19:55,095 - pyskl - INFO - Epoch [78][2900/3746] lr: 4.710e-02, eta: 2 days, 0:23:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3308, top5_acc: 0.5858, loss_cls: 4.2594, loss: 4.2594 +2024-01-01 14:20:54,672 - pyskl - INFO - Epoch [78][3000/3746] lr: 4.707e-02, eta: 2 days, 0:14:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3056, top5_acc: 0.5645, loss_cls: 4.3477, loss: 4.3477 +2024-01-01 14:21:55,095 - pyskl - INFO - Epoch [78][3100/3746] lr: 4.704e-02, eta: 2 days, 0:08:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5772, loss_cls: 4.3015, loss: 4.3015 +2024-01-01 14:22:55,261 - pyskl - INFO - Epoch [78][3200/3746] lr: 4.701e-02, eta: 2 days, 0:01:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3133, top5_acc: 0.5689, loss_cls: 4.3282, loss: 4.3282 +2024-01-01 14:23:55,086 - pyskl - INFO - Epoch [78][3300/3746] lr: 4.699e-02, eta: 1 day, 23:54:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5863, loss_cls: 4.2419, loss: 4.2419 +2024-01-01 14:24:54,913 - pyskl - INFO - Epoch [78][3400/3746] lr: 4.696e-02, eta: 1 day, 23:48:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3347, top5_acc: 0.5956, loss_cls: 4.2236, loss: 4.2236 +2024-01-01 14:25:55,322 - pyskl - INFO - Epoch [78][3500/3746] lr: 4.693e-02, eta: 1 day, 23:43:09, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3113, top5_acc: 0.5745, loss_cls: 4.3348, loss: 4.3348 +2024-01-01 14:26:56,302 - pyskl - INFO - Epoch [78][3600/3746] lr: 4.690e-02, eta: 1 day, 23:38:47, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5828, loss_cls: 4.2638, loss: 4.2638 +2024-01-01 14:27:56,215 - pyskl - INFO - Epoch [78][3700/3746] lr: 4.687e-02, eta: 1 day, 23:33:17, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5806, loss_cls: 4.2790, loss: 4.2790 +2024-01-01 14:28:26,128 - pyskl - INFO - Saving checkpoint at 78 epochs +2024-01-01 14:30:22,993 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 14:30:24,114 - pyskl - INFO - +top1_acc 0.2635 +top5_acc 0.5171 +2024-01-01 14:30:24,114 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 14:30:24,144 - pyskl - INFO - +mean_acc 0.2633 +2024-01-01 14:30:24,152 - pyskl - INFO - Epoch(val) [78][309] top1_acc: 0.2635, top5_acc: 0.5171, mean_class_accuracy: 0.2633 +2024-01-01 14:33:36,222 - pyskl - INFO - Epoch [79][100/3746] lr: 4.683e-02, eta: 2 days, 1:27:53, time: 1.921, data_time: 1.322, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5955, loss_cls: 4.1977, loss: 4.1977 +2024-01-01 14:34:36,002 - pyskl - INFO - Epoch [79][200/3746] lr: 4.680e-02, eta: 2 days, 1:19:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5969, loss_cls: 4.2207, loss: 4.2207 +2024-01-01 14:35:35,704 - pyskl - INFO - Epoch [79][300/3746] lr: 4.678e-02, eta: 2 days, 1:11:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5967, loss_cls: 4.1966, loss: 4.1966 +2024-01-01 14:36:35,793 - pyskl - INFO - Epoch [79][400/3746] lr: 4.675e-02, eta: 2 days, 1:04:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3184, top5_acc: 0.5902, loss_cls: 4.2558, loss: 4.2558 +2024-01-01 14:37:36,608 - pyskl - INFO - Epoch [79][500/3746] lr: 4.672e-02, eta: 2 days, 0:58:19, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5880, loss_cls: 4.2077, loss: 4.2077 +2024-01-01 14:38:37,221 - pyskl - INFO - Epoch [79][600/3746] lr: 4.669e-02, eta: 2 days, 0:52:12, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5922, loss_cls: 4.2193, loss: 4.2193 +2024-01-01 14:39:37,832 - pyskl - INFO - Epoch [79][700/3746] lr: 4.667e-02, eta: 2 days, 0:46:18, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3377, top5_acc: 0.5895, loss_cls: 4.2092, loss: 4.2092 +2024-01-01 14:40:38,042 - pyskl - INFO - Epoch [79][800/3746] lr: 4.664e-02, eta: 2 days, 0:40:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5809, loss_cls: 4.2348, loss: 4.2348 +2024-01-01 14:41:37,736 - pyskl - INFO - Epoch [79][900/3746] lr: 4.661e-02, eta: 2 days, 0:33:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5827, loss_cls: 4.2478, loss: 4.2478 +2024-01-01 14:42:37,561 - pyskl - INFO - Epoch [79][1000/3746] lr: 4.658e-02, eta: 2 days, 0:27:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3206, top5_acc: 0.5809, loss_cls: 4.2837, loss: 4.2837 +2024-01-01 14:43:37,419 - pyskl - INFO - Epoch [79][1100/3746] lr: 4.655e-02, eta: 2 days, 0:22:06, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3262, top5_acc: 0.5839, loss_cls: 4.2447, loss: 4.2447 +2024-01-01 14:44:37,395 - pyskl - INFO - Epoch [79][1200/3746] lr: 4.653e-02, eta: 2 days, 0:16:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3323, top5_acc: 0.5778, loss_cls: 4.2259, loss: 4.2259 +2024-01-01 14:45:36,934 - pyskl - INFO - Epoch [79][1300/3746] lr: 4.650e-02, eta: 2 days, 0:10:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5944, loss_cls: 4.2119, loss: 4.2119 +2024-01-01 14:46:36,989 - pyskl - INFO - Epoch [79][1400/3746] lr: 4.647e-02, eta: 2 days, 0:05:54, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5953, loss_cls: 4.2301, loss: 4.2301 +2024-01-01 14:47:36,744 - pyskl - INFO - Epoch [79][1500/3746] lr: 4.644e-02, eta: 2 days, 0:00:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3192, top5_acc: 0.5736, loss_cls: 4.2794, loss: 4.2794 +2024-01-01 14:48:36,723 - pyskl - INFO - Epoch [79][1600/3746] lr: 4.641e-02, eta: 1 day, 23:55:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5861, loss_cls: 4.2364, loss: 4.2364 +2024-01-01 14:49:36,556 - pyskl - INFO - Epoch [79][1700/3746] lr: 4.639e-02, eta: 1 day, 23:51:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5850, loss_cls: 4.2284, loss: 4.2284 +2024-01-01 14:50:36,394 - pyskl - INFO - Epoch [79][1800/3746] lr: 4.636e-02, eta: 1 day, 23:46:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5750, loss_cls: 4.2661, loss: 4.2661 +2024-01-01 14:51:36,047 - pyskl - INFO - Epoch [79][1900/3746] lr: 4.633e-02, eta: 1 day, 23:41:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3220, top5_acc: 0.5853, loss_cls: 4.2582, loss: 4.2582 +2024-01-01 14:52:35,654 - pyskl - INFO - Epoch [79][2000/3746] lr: 4.630e-02, eta: 1 day, 23:37:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5828, loss_cls: 4.2455, loss: 4.2455 +2024-01-01 14:53:35,324 - pyskl - INFO - Epoch [79][2100/3746] lr: 4.628e-02, eta: 1 day, 23:32:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5755, loss_cls: 4.2538, loss: 4.2538 +2024-01-01 14:54:34,826 - pyskl - INFO - Epoch [79][2200/3746] lr: 4.625e-02, eta: 1 day, 23:28:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5750, loss_cls: 4.2512, loss: 4.2512 +2024-01-01 14:55:34,623 - pyskl - INFO - Epoch [79][2300/3746] lr: 4.622e-02, eta: 1 day, 23:24:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5820, loss_cls: 4.2356, loss: 4.2356 +2024-01-01 14:56:34,443 - pyskl - INFO - Epoch [79][2400/3746] lr: 4.619e-02, eta: 1 day, 23:20:25, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5897, loss_cls: 4.2188, loss: 4.2188 +2024-01-01 14:57:34,193 - pyskl - INFO - Epoch [79][2500/3746] lr: 4.616e-02, eta: 1 day, 23:16:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5847, loss_cls: 4.2485, loss: 4.2485 +2024-01-01 14:58:33,845 - pyskl - INFO - Epoch [79][2600/3746] lr: 4.614e-02, eta: 1 day, 23:12:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3359, top5_acc: 0.5769, loss_cls: 4.2355, loss: 4.2355 +2024-01-01 14:59:33,794 - pyskl - INFO - Epoch [79][2700/3746] lr: 4.611e-02, eta: 1 day, 23:09:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3183, top5_acc: 0.5748, loss_cls: 4.2898, loss: 4.2898 +2024-01-01 15:00:33,536 - pyskl - INFO - Epoch [79][2800/3746] lr: 4.608e-02, eta: 1 day, 23:05:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5800, loss_cls: 4.2434, loss: 4.2434 +2024-01-01 15:01:33,088 - pyskl - INFO - Epoch [79][2900/3746] lr: 4.605e-02, eta: 1 day, 23:01:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3264, top5_acc: 0.5887, loss_cls: 4.2254, loss: 4.2254 +2024-01-01 15:02:32,664 - pyskl - INFO - Epoch [79][3000/3746] lr: 4.602e-02, eta: 1 day, 22:58:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3155, top5_acc: 0.5739, loss_cls: 4.3036, loss: 4.3036 +2024-01-01 15:03:32,286 - pyskl - INFO - Epoch [79][3100/3746] lr: 4.600e-02, eta: 1 day, 22:54:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3211, top5_acc: 0.5897, loss_cls: 4.2306, loss: 4.2306 +2024-01-01 15:04:31,731 - pyskl - INFO - Epoch [79][3200/3746] lr: 4.597e-02, eta: 1 day, 22:50:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3186, top5_acc: 0.5739, loss_cls: 4.2457, loss: 4.2457 +2024-01-01 15:05:31,327 - pyskl - INFO - Epoch [79][3300/3746] lr: 4.594e-02, eta: 1 day, 22:47:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3139, top5_acc: 0.5636, loss_cls: 4.3073, loss: 4.3073 +2024-01-01 15:06:30,840 - pyskl - INFO - Epoch [79][3400/3746] lr: 4.591e-02, eta: 1 day, 22:44:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5817, loss_cls: 4.2326, loss: 4.2326 +2024-01-01 15:07:30,903 - pyskl - INFO - Epoch [79][3500/3746] lr: 4.588e-02, eta: 1 day, 22:41:16, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5775, loss_cls: 4.2692, loss: 4.2692 +2024-01-01 15:08:31,056 - pyskl - INFO - Epoch [79][3600/3746] lr: 4.586e-02, eta: 1 day, 22:38:25, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5800, loss_cls: 4.2323, loss: 4.2323 +2024-01-01 15:09:30,822 - pyskl - INFO - Epoch [79][3700/3746] lr: 4.583e-02, eta: 1 day, 22:35:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5752, loss_cls: 4.2829, loss: 4.2829 +2024-01-01 15:10:00,743 - pyskl - INFO - Saving checkpoint at 79 epochs +2024-01-01 15:11:59,436 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 15:12:00,541 - pyskl - INFO - +top1_acc 0.2687 +top5_acc 0.5196 +2024-01-01 15:12:00,541 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 15:12:00,577 - pyskl - INFO - +mean_acc 0.2684 +2024-01-01 15:12:00,585 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_75.pth was removed +2024-01-01 15:12:00,887 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_79.pth. +2024-01-01 15:12:00,887 - pyskl - INFO - Best top1_acc is 0.2687 at 79 epoch. +2024-01-01 15:12:00,895 - pyskl - INFO - Epoch(val) [79][309] top1_acc: 0.2687, top5_acc: 0.5196, mean_class_accuracy: 0.2684 +2024-01-01 15:15:19,211 - pyskl - INFO - Epoch [80][100/3746] lr: 4.579e-02, eta: 1 day, 23:35:51, time: 1.983, data_time: 1.384, memory: 16177, top1_acc: 0.3377, top5_acc: 0.6008, loss_cls: 4.1564, loss: 4.1564 +2024-01-01 15:16:19,780 - pyskl - INFO - Epoch [80][200/3746] lr: 4.576e-02, eta: 1 day, 23:32:33, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3281, top5_acc: 0.5991, loss_cls: 4.1714, loss: 4.1714 +2024-01-01 15:17:20,243 - pyskl - INFO - Epoch [80][300/3746] lr: 4.573e-02, eta: 1 day, 23:29:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5878, loss_cls: 4.1854, loss: 4.1854 +2024-01-01 15:18:20,363 - pyskl - INFO - Epoch [80][400/3746] lr: 4.570e-02, eta: 1 day, 23:25:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5958, loss_cls: 4.1568, loss: 4.1568 +2024-01-01 15:19:20,510 - pyskl - INFO - Epoch [80][500/3746] lr: 4.568e-02, eta: 1 day, 23:22:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3311, top5_acc: 0.5848, loss_cls: 4.2226, loss: 4.2226 +2024-01-01 15:20:21,153 - pyskl - INFO - Epoch [80][600/3746] lr: 4.565e-02, eta: 1 day, 23:19:23, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5798, loss_cls: 4.2583, loss: 4.2583 +2024-01-01 15:21:22,029 - pyskl - INFO - Epoch [80][700/3746] lr: 4.562e-02, eta: 1 day, 23:16:31, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3359, top5_acc: 0.5825, loss_cls: 4.2284, loss: 4.2284 +2024-01-01 15:22:21,930 - pyskl - INFO - Epoch [80][800/3746] lr: 4.559e-02, eta: 1 day, 23:13:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5902, loss_cls: 4.2073, loss: 4.2073 +2024-01-01 15:23:21,753 - pyskl - INFO - Epoch [80][900/3746] lr: 4.557e-02, eta: 1 day, 23:09:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3362, top5_acc: 0.5861, loss_cls: 4.2041, loss: 4.2041 +2024-01-01 15:24:21,373 - pyskl - INFO - Epoch [80][1000/3746] lr: 4.554e-02, eta: 1 day, 23:06:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3223, top5_acc: 0.5792, loss_cls: 4.2389, loss: 4.2389 +2024-01-01 15:25:21,130 - pyskl - INFO - Epoch [80][1100/3746] lr: 4.551e-02, eta: 1 day, 23:03:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3200, top5_acc: 0.5798, loss_cls: 4.2497, loss: 4.2497 +2024-01-01 15:26:20,980 - pyskl - INFO - Epoch [80][1200/3746] lr: 4.548e-02, eta: 1 day, 23:00:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5955, loss_cls: 4.1885, loss: 4.1885 +2024-01-01 15:27:20,624 - pyskl - INFO - Epoch [80][1300/3746] lr: 4.545e-02, eta: 1 day, 22:56:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3217, top5_acc: 0.5845, loss_cls: 4.2201, loss: 4.2201 +2024-01-01 15:28:20,015 - pyskl - INFO - Epoch [80][1400/3746] lr: 4.543e-02, eta: 1 day, 22:53:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5791, loss_cls: 4.2609, loss: 4.2609 +2024-01-01 15:29:19,562 - pyskl - INFO - Epoch [80][1500/3746] lr: 4.540e-02, eta: 1 day, 22:50:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3327, top5_acc: 0.5873, loss_cls: 4.2153, loss: 4.2153 +2024-01-01 15:30:19,076 - pyskl - INFO - Epoch [80][1600/3746] lr: 4.537e-02, eta: 1 day, 22:47:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5869, loss_cls: 4.1960, loss: 4.1960 +2024-01-01 15:31:18,886 - pyskl - INFO - Epoch [80][1700/3746] lr: 4.534e-02, eta: 1 day, 22:44:23, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3253, top5_acc: 0.5820, loss_cls: 4.2313, loss: 4.2313 +2024-01-01 15:32:18,626 - pyskl - INFO - Epoch [80][1800/3746] lr: 4.532e-02, eta: 1 day, 22:41:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3162, top5_acc: 0.5853, loss_cls: 4.2405, loss: 4.2405 +2024-01-01 15:33:18,197 - pyskl - INFO - Epoch [80][1900/3746] lr: 4.529e-02, eta: 1 day, 22:38:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3273, top5_acc: 0.5822, loss_cls: 4.2378, loss: 4.2378 +2024-01-01 15:34:17,436 - pyskl - INFO - Epoch [80][2000/3746] lr: 4.526e-02, eta: 1 day, 22:35:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5864, loss_cls: 4.1880, loss: 4.1880 +2024-01-01 15:35:16,933 - pyskl - INFO - Epoch [80][2100/3746] lr: 4.523e-02, eta: 1 day, 22:32:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5844, loss_cls: 4.2230, loss: 4.2230 +2024-01-01 15:36:16,413 - pyskl - INFO - Epoch [80][2200/3746] lr: 4.520e-02, eta: 1 day, 22:29:38, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5841, loss_cls: 4.2018, loss: 4.2018 +2024-01-01 15:37:15,688 - pyskl - INFO - Epoch [80][2300/3746] lr: 4.518e-02, eta: 1 day, 22:26:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3261, top5_acc: 0.5861, loss_cls: 4.2402, loss: 4.2402 +2024-01-01 15:38:15,225 - pyskl - INFO - Epoch [80][2400/3746] lr: 4.515e-02, eta: 1 day, 22:23:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5837, loss_cls: 4.2514, loss: 4.2514 +2024-01-01 15:39:14,816 - pyskl - INFO - Epoch [80][2500/3746] lr: 4.512e-02, eta: 1 day, 22:21:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3209, top5_acc: 0.5803, loss_cls: 4.2509, loss: 4.2509 +2024-01-01 15:40:14,611 - pyskl - INFO - Epoch [80][2600/3746] lr: 4.509e-02, eta: 1 day, 22:18:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5866, loss_cls: 4.2339, loss: 4.2339 +2024-01-01 15:41:14,578 - pyskl - INFO - Epoch [80][2700/3746] lr: 4.506e-02, eta: 1 day, 22:16:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5825, loss_cls: 4.2250, loss: 4.2250 +2024-01-01 15:42:14,128 - pyskl - INFO - Epoch [80][2800/3746] lr: 4.504e-02, eta: 1 day, 22:13:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5837, loss_cls: 4.2332, loss: 4.2332 +2024-01-01 15:43:14,023 - pyskl - INFO - Epoch [80][2900/3746] lr: 4.501e-02, eta: 1 day, 22:11:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3208, top5_acc: 0.5764, loss_cls: 4.2261, loss: 4.2261 +2024-01-01 15:44:13,727 - pyskl - INFO - Epoch [80][3000/3746] lr: 4.498e-02, eta: 1 day, 22:08:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3244, top5_acc: 0.5897, loss_cls: 4.2043, loss: 4.2043 +2024-01-01 15:45:13,608 - pyskl - INFO - Epoch [80][3100/3746] lr: 4.495e-02, eta: 1 day, 22:06:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3384, top5_acc: 0.5950, loss_cls: 4.1807, loss: 4.1807 +2024-01-01 15:46:13,613 - pyskl - INFO - Epoch [80][3200/3746] lr: 4.493e-02, eta: 1 day, 22:03:44, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5855, loss_cls: 4.2271, loss: 4.2271 +2024-01-01 15:47:13,137 - pyskl - INFO - Epoch [80][3300/3746] lr: 4.490e-02, eta: 1 day, 22:01:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3180, top5_acc: 0.5695, loss_cls: 4.2850, loss: 4.2850 +2024-01-01 15:48:13,019 - pyskl - INFO - Epoch [80][3400/3746] lr: 4.487e-02, eta: 1 day, 21:58:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3314, top5_acc: 0.5880, loss_cls: 4.1774, loss: 4.1774 +2024-01-01 15:49:12,913 - pyskl - INFO - Epoch [80][3500/3746] lr: 4.484e-02, eta: 1 day, 21:56:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5764, loss_cls: 4.2370, loss: 4.2370 +2024-01-01 15:50:12,930 - pyskl - INFO - Epoch [80][3600/3746] lr: 4.481e-02, eta: 1 day, 21:54:22, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5791, loss_cls: 4.2541, loss: 4.2541 +2024-01-01 15:51:13,131 - pyskl - INFO - Epoch [80][3700/3746] lr: 4.479e-02, eta: 1 day, 21:52:13, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3095, top5_acc: 0.5758, loss_cls: 4.3108, loss: 4.3108 +2024-01-01 15:51:43,317 - pyskl - INFO - Saving checkpoint at 80 epochs +2024-01-01 15:53:40,755 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 15:53:41,808 - pyskl - INFO - +top1_acc 0.2677 +top5_acc 0.5140 +2024-01-01 15:53:41,808 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 15:53:41,841 - pyskl - INFO - +mean_acc 0.2676 +2024-01-01 15:53:41,849 - pyskl - INFO - Epoch(val) [80][309] top1_acc: 0.2677, top5_acc: 0.5140, mean_class_accuracy: 0.2676 +2024-01-01 15:56:59,671 - pyskl - INFO - Epoch [81][100/3746] lr: 4.475e-02, eta: 1 day, 22:31:29, time: 1.978, data_time: 1.380, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5883, loss_cls: 4.1998, loss: 4.1998 +2024-01-01 15:57:59,669 - pyskl - INFO - Epoch [81][200/3746] lr: 4.472e-02, eta: 1 day, 22:28:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3286, top5_acc: 0.5950, loss_cls: 4.1666, loss: 4.1666 +2024-01-01 15:59:00,188 - pyskl - INFO - Epoch [81][300/3746] lr: 4.469e-02, eta: 1 day, 22:26:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3306, top5_acc: 0.5931, loss_cls: 4.1931, loss: 4.1931 +2024-01-01 16:00:01,444 - pyskl - INFO - Epoch [81][400/3746] lr: 4.466e-02, eta: 1 day, 22:24:34, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3422, top5_acc: 0.6031, loss_cls: 4.1219, loss: 4.1219 +2024-01-01 16:01:02,803 - pyskl - INFO - Epoch [81][500/3746] lr: 4.463e-02, eta: 1 day, 22:22:36, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5886, loss_cls: 4.2011, loss: 4.2011 +2024-01-01 16:02:04,007 - pyskl - INFO - Epoch [81][600/3746] lr: 4.461e-02, eta: 1 day, 22:20:35, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3350, top5_acc: 0.5978, loss_cls: 4.1637, loss: 4.1637 +2024-01-01 16:03:05,375 - pyskl - INFO - Epoch [81][700/3746] lr: 4.458e-02, eta: 1 day, 22:18:38, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3303, top5_acc: 0.5836, loss_cls: 4.2039, loss: 4.2039 +2024-01-01 16:04:06,750 - pyskl - INFO - Epoch [81][800/3746] lr: 4.455e-02, eta: 1 day, 22:16:43, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3294, top5_acc: 0.5928, loss_cls: 4.1828, loss: 4.1828 +2024-01-01 16:05:08,039 - pyskl - INFO - Epoch [81][900/3746] lr: 4.452e-02, eta: 1 day, 22:14:47, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5864, loss_cls: 4.1946, loss: 4.1946 +2024-01-01 16:06:09,409 - pyskl - INFO - Epoch [81][1000/3746] lr: 4.450e-02, eta: 1 day, 22:12:53, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.5844, loss_cls: 4.2151, loss: 4.2151 +2024-01-01 16:07:10,032 - pyskl - INFO - Epoch [81][1100/3746] lr: 4.447e-02, eta: 1 day, 22:10:44, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3311, top5_acc: 0.5923, loss_cls: 4.1879, loss: 4.1879 +2024-01-01 16:08:11,156 - pyskl - INFO - Epoch [81][1200/3746] lr: 4.444e-02, eta: 1 day, 22:08:47, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3216, top5_acc: 0.5825, loss_cls: 4.2490, loss: 4.2490 +2024-01-01 16:09:12,096 - pyskl - INFO - Epoch [81][1300/3746] lr: 4.441e-02, eta: 1 day, 22:06:47, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5861, loss_cls: 4.2169, loss: 4.2169 +2024-01-01 16:10:12,168 - pyskl - INFO - Epoch [81][1400/3746] lr: 4.438e-02, eta: 1 day, 22:04:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3236, top5_acc: 0.5859, loss_cls: 4.1975, loss: 4.1975 +2024-01-01 16:11:12,952 - pyskl - INFO - Epoch [81][1500/3746] lr: 4.436e-02, eta: 1 day, 22:02:29, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3444, top5_acc: 0.5948, loss_cls: 4.1358, loss: 4.1358 +2024-01-01 16:12:13,200 - pyskl - INFO - Epoch [81][1600/3746] lr: 4.433e-02, eta: 1 day, 22:00:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3222, top5_acc: 0.5869, loss_cls: 4.2036, loss: 4.2036 +2024-01-01 16:13:13,385 - pyskl - INFO - Epoch [81][1700/3746] lr: 4.430e-02, eta: 1 day, 21:58:07, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3283, top5_acc: 0.5844, loss_cls: 4.1984, loss: 4.1984 +2024-01-01 16:14:13,156 - pyskl - INFO - Epoch [81][1800/3746] lr: 4.427e-02, eta: 1 day, 21:55:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5895, loss_cls: 4.2149, loss: 4.2149 +2024-01-01 16:15:13,233 - pyskl - INFO - Epoch [81][1900/3746] lr: 4.425e-02, eta: 1 day, 21:53:37, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5800, loss_cls: 4.2328, loss: 4.2328 +2024-01-01 16:16:13,569 - pyskl - INFO - Epoch [81][2000/3746] lr: 4.422e-02, eta: 1 day, 21:51:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3306, top5_acc: 0.5825, loss_cls: 4.2121, loss: 4.2121 +2024-01-01 16:17:14,671 - pyskl - INFO - Epoch [81][2100/3746] lr: 4.419e-02, eta: 1 day, 21:49:43, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3275, top5_acc: 0.5959, loss_cls: 4.1864, loss: 4.1864 +2024-01-01 16:18:15,611 - pyskl - INFO - Epoch [81][2200/3746] lr: 4.416e-02, eta: 1 day, 21:47:51, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3203, top5_acc: 0.5880, loss_cls: 4.2220, loss: 4.2220 +2024-01-01 16:19:15,923 - pyskl - INFO - Epoch [81][2300/3746] lr: 4.413e-02, eta: 1 day, 21:45:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3191, top5_acc: 0.5783, loss_cls: 4.2553, loss: 4.2553 +2024-01-01 16:20:16,695 - pyskl - INFO - Epoch [81][2400/3746] lr: 4.411e-02, eta: 1 day, 21:43:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3367, top5_acc: 0.5927, loss_cls: 4.1705, loss: 4.1705 +2024-01-01 16:21:17,307 - pyskl - INFO - Epoch [81][2500/3746] lr: 4.408e-02, eta: 1 day, 21:42:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5884, loss_cls: 4.1950, loss: 4.1950 +2024-01-01 16:22:17,674 - pyskl - INFO - Epoch [81][2600/3746] lr: 4.405e-02, eta: 1 day, 21:40:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5945, loss_cls: 4.1688, loss: 4.1688 +2024-01-01 16:23:18,050 - pyskl - INFO - Epoch [81][2700/3746] lr: 4.402e-02, eta: 1 day, 21:38:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5880, loss_cls: 4.2008, loss: 4.2008 +2024-01-01 16:24:19,348 - pyskl - INFO - Epoch [81][2800/3746] lr: 4.400e-02, eta: 1 day, 21:36:22, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3278, top5_acc: 0.5887, loss_cls: 4.2024, loss: 4.2024 +2024-01-01 16:25:20,808 - pyskl - INFO - Epoch [81][2900/3746] lr: 4.397e-02, eta: 1 day, 21:34:45, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3181, top5_acc: 0.5786, loss_cls: 4.2546, loss: 4.2546 +2024-01-01 16:26:21,453 - pyskl - INFO - Epoch [81][3000/3746] lr: 4.394e-02, eta: 1 day, 21:32:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3294, top5_acc: 0.5897, loss_cls: 4.2066, loss: 4.2066 +2024-01-01 16:27:22,449 - pyskl - INFO - Epoch [81][3100/3746] lr: 4.391e-02, eta: 1 day, 21:31:10, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3298, top5_acc: 0.5803, loss_cls: 4.2104, loss: 4.2104 +2024-01-01 16:28:24,085 - pyskl - INFO - Epoch [81][3200/3746] lr: 4.389e-02, eta: 1 day, 21:29:38, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3250, top5_acc: 0.5753, loss_cls: 4.2215, loss: 4.2215 +2024-01-01 16:29:24,016 - pyskl - INFO - Epoch [81][3300/3746] lr: 4.386e-02, eta: 1 day, 21:27:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3159, top5_acc: 0.5808, loss_cls: 4.2283, loss: 4.2283 +2024-01-01 16:30:24,326 - pyskl - INFO - Epoch [81][3400/3746] lr: 4.383e-02, eta: 1 day, 21:25:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5878, loss_cls: 4.2271, loss: 4.2271 +2024-01-01 16:31:25,927 - pyskl - INFO - Epoch [81][3500/3746] lr: 4.380e-02, eta: 1 day, 21:24:10, time: 0.616, data_time: 0.001, memory: 16177, top1_acc: 0.3228, top5_acc: 0.5816, loss_cls: 4.2357, loss: 4.2357 +2024-01-01 16:32:27,121 - pyskl - INFO - Epoch [81][3600/3746] lr: 4.377e-02, eta: 1 day, 21:22:33, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3205, top5_acc: 0.5755, loss_cls: 4.2552, loss: 4.2552 +2024-01-01 16:33:28,044 - pyskl - INFO - Epoch [81][3700/3746] lr: 4.375e-02, eta: 1 day, 21:20:50, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3166, top5_acc: 0.5775, loss_cls: 4.2287, loss: 4.2287 +2024-01-01 16:33:58,063 - pyskl - INFO - Saving checkpoint at 81 epochs +2024-01-01 16:35:55,622 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 16:35:56,446 - pyskl - INFO - +top1_acc 0.2600 +top5_acc 0.5049 +2024-01-01 16:35:56,446 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 16:35:56,480 - pyskl - INFO - +mean_acc 0.2598 +2024-01-01 16:35:56,488 - pyskl - INFO - Epoch(val) [81][309] top1_acc: 0.2600, top5_acc: 0.5049, mean_class_accuracy: 0.2598 +2024-01-01 16:39:07,561 - pyskl - INFO - Epoch [82][100/3746] lr: 4.371e-02, eta: 1 day, 21:47:32, time: 1.911, data_time: 1.311, memory: 16177, top1_acc: 0.3486, top5_acc: 0.6122, loss_cls: 4.0923, loss: 4.0923 +2024-01-01 16:40:07,615 - pyskl - INFO - Epoch [82][200/3746] lr: 4.368e-02, eta: 1 day, 21:45:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5950, loss_cls: 4.1505, loss: 4.1505 +2024-01-01 16:41:07,706 - pyskl - INFO - Epoch [82][300/3746] lr: 4.365e-02, eta: 1 day, 21:43:18, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3331, top5_acc: 0.5852, loss_cls: 4.2086, loss: 4.2086 +2024-01-01 16:42:08,108 - pyskl - INFO - Epoch [82][400/3746] lr: 4.362e-02, eta: 1 day, 21:41:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3248, top5_acc: 0.5852, loss_cls: 4.1784, loss: 4.1784 +2024-01-01 16:43:08,251 - pyskl - INFO - Epoch [82][500/3746] lr: 4.359e-02, eta: 1 day, 21:39:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.6050, loss_cls: 4.1438, loss: 4.1438 +2024-01-01 16:44:08,363 - pyskl - INFO - Epoch [82][600/3746] lr: 4.357e-02, eta: 1 day, 21:37:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3323, top5_acc: 0.5861, loss_cls: 4.1611, loss: 4.1611 +2024-01-01 16:45:09,282 - pyskl - INFO - Epoch [82][700/3746] lr: 4.354e-02, eta: 1 day, 21:35:22, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.5916, loss_cls: 4.1864, loss: 4.1864 +2024-01-01 16:46:10,378 - pyskl - INFO - Epoch [82][800/3746] lr: 4.351e-02, eta: 1 day, 21:33:36, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3231, top5_acc: 0.5833, loss_cls: 4.2363, loss: 4.2363 +2024-01-01 16:47:12,013 - pyskl - INFO - Epoch [82][900/3746] lr: 4.348e-02, eta: 1 day, 21:32:00, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5864, loss_cls: 4.2091, loss: 4.2091 +2024-01-01 16:48:13,203 - pyskl - INFO - Epoch [82][1000/3746] lr: 4.346e-02, eta: 1 day, 21:30:17, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5828, loss_cls: 4.2032, loss: 4.2032 +2024-01-01 16:49:14,568 - pyskl - INFO - Epoch [82][1100/3746] lr: 4.343e-02, eta: 1 day, 21:28:37, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3392, top5_acc: 0.5908, loss_cls: 4.1436, loss: 4.1436 +2024-01-01 16:50:16,122 - pyskl - INFO - Epoch [82][1200/3746] lr: 4.340e-02, eta: 1 day, 21:27:01, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3194, top5_acc: 0.5898, loss_cls: 4.2135, loss: 4.2135 +2024-01-01 16:51:17,507 - pyskl - INFO - Epoch [82][1300/3746] lr: 4.337e-02, eta: 1 day, 21:25:22, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3239, top5_acc: 0.5842, loss_cls: 4.2090, loss: 4.2090 +2024-01-01 16:52:18,690 - pyskl - INFO - Epoch [82][1400/3746] lr: 4.335e-02, eta: 1 day, 21:23:41, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3438, top5_acc: 0.5908, loss_cls: 4.1506, loss: 4.1506 +2024-01-01 16:53:19,828 - pyskl - INFO - Epoch [82][1500/3746] lr: 4.332e-02, eta: 1 day, 21:21:59, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5897, loss_cls: 4.2213, loss: 4.2213 +2024-01-01 16:54:21,182 - pyskl - INFO - Epoch [82][1600/3746] lr: 4.329e-02, eta: 1 day, 21:20:22, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3350, top5_acc: 0.5867, loss_cls: 4.2048, loss: 4.2048 +2024-01-01 16:55:22,567 - pyskl - INFO - Epoch [82][1700/3746] lr: 4.326e-02, eta: 1 day, 21:18:45, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3383, top5_acc: 0.5934, loss_cls: 4.1602, loss: 4.1602 +2024-01-01 16:56:23,489 - pyskl - INFO - Epoch [82][1800/3746] lr: 4.323e-02, eta: 1 day, 21:17:01, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3306, top5_acc: 0.5900, loss_cls: 4.2105, loss: 4.2105 +2024-01-01 16:57:24,864 - pyskl - INFO - Epoch [82][1900/3746] lr: 4.321e-02, eta: 1 day, 21:15:25, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3242, top5_acc: 0.5895, loss_cls: 4.2338, loss: 4.2338 +2024-01-01 16:58:26,575 - pyskl - INFO - Epoch [82][2000/3746] lr: 4.318e-02, eta: 1 day, 21:13:55, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3412, top5_acc: 0.5953, loss_cls: 4.1420, loss: 4.1420 +2024-01-01 16:59:27,933 - pyskl - INFO - Epoch [82][2100/3746] lr: 4.315e-02, eta: 1 day, 21:12:19, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5839, loss_cls: 4.2094, loss: 4.2094 +2024-01-01 17:00:28,894 - pyskl - INFO - Epoch [82][2200/3746] lr: 4.312e-02, eta: 1 day, 21:10:38, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5881, loss_cls: 4.2254, loss: 4.2254 +2024-01-01 17:01:30,083 - pyskl - INFO - Epoch [82][2300/3746] lr: 4.310e-02, eta: 1 day, 21:09:01, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5861, loss_cls: 4.2171, loss: 4.2171 +2024-01-01 17:02:31,475 - pyskl - INFO - Epoch [82][2400/3746] lr: 4.307e-02, eta: 1 day, 21:07:27, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3358, top5_acc: 0.5870, loss_cls: 4.1733, loss: 4.1733 +2024-01-01 17:03:32,679 - pyskl - INFO - Epoch [82][2500/3746] lr: 4.304e-02, eta: 1 day, 21:05:51, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.5919, loss_cls: 4.1974, loss: 4.1974 +2024-01-01 17:04:33,768 - pyskl - INFO - Epoch [82][2600/3746] lr: 4.301e-02, eta: 1 day, 21:04:14, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3230, top5_acc: 0.5919, loss_cls: 4.1871, loss: 4.1871 +2024-01-01 17:05:34,902 - pyskl - INFO - Epoch [82][2700/3746] lr: 4.299e-02, eta: 1 day, 21:02:37, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5831, loss_cls: 4.2231, loss: 4.2231 +2024-01-01 17:06:36,147 - pyskl - INFO - Epoch [82][2800/3746] lr: 4.296e-02, eta: 1 day, 21:01:03, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3283, top5_acc: 0.5877, loss_cls: 4.2013, loss: 4.2013 +2024-01-01 17:07:37,484 - pyskl - INFO - Epoch [82][2900/3746] lr: 4.293e-02, eta: 1 day, 20:59:30, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3297, top5_acc: 0.5816, loss_cls: 4.2004, loss: 4.2004 +2024-01-01 17:08:38,820 - pyskl - INFO - Epoch [82][3000/3746] lr: 4.290e-02, eta: 1 day, 20:57:58, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3398, top5_acc: 0.5948, loss_cls: 4.1772, loss: 4.1772 +2024-01-01 17:09:40,113 - pyskl - INFO - Epoch [82][3100/3746] lr: 4.287e-02, eta: 1 day, 20:56:25, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5803, loss_cls: 4.1962, loss: 4.1962 +2024-01-01 17:10:41,646 - pyskl - INFO - Epoch [82][3200/3746] lr: 4.285e-02, eta: 1 day, 20:54:56, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3314, top5_acc: 0.5844, loss_cls: 4.1972, loss: 4.1972 +2024-01-01 17:11:42,861 - pyskl - INFO - Epoch [82][3300/3746] lr: 4.282e-02, eta: 1 day, 20:53:23, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3172, top5_acc: 0.5830, loss_cls: 4.2288, loss: 4.2288 +2024-01-01 17:12:44,066 - pyskl - INFO - Epoch [82][3400/3746] lr: 4.279e-02, eta: 1 day, 20:51:50, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3367, top5_acc: 0.5913, loss_cls: 4.1747, loss: 4.1747 +2024-01-01 17:13:45,290 - pyskl - INFO - Epoch [82][3500/3746] lr: 4.276e-02, eta: 1 day, 20:50:18, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3333, top5_acc: 0.5859, loss_cls: 4.1595, loss: 4.1595 +2024-01-01 17:14:46,944 - pyskl - INFO - Epoch [82][3600/3746] lr: 4.274e-02, eta: 1 day, 20:48:52, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3325, top5_acc: 0.5836, loss_cls: 4.2509, loss: 4.2509 +2024-01-01 17:15:47,969 - pyskl - INFO - Epoch [82][3700/3746] lr: 4.271e-02, eta: 1 day, 20:47:18, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3316, top5_acc: 0.5820, loss_cls: 4.1975, loss: 4.1975 +2024-01-01 17:16:17,958 - pyskl - INFO - Saving checkpoint at 82 epochs +2024-01-01 17:18:18,164 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 17:18:19,075 - pyskl - INFO - +top1_acc 0.2590 +top5_acc 0.5106 +2024-01-01 17:18:19,076 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 17:18:19,112 - pyskl - INFO - +mean_acc 0.2586 +2024-01-01 17:18:19,138 - pyskl - INFO - Epoch(val) [82][309] top1_acc: 0.2590, top5_acc: 0.5106, mean_class_accuracy: 0.2586 +2024-01-01 17:21:33,742 - pyskl - INFO - Epoch [83][100/3746] lr: 4.267e-02, eta: 1 day, 21:08:47, time: 1.946, data_time: 1.344, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5962, loss_cls: 4.1518, loss: 4.1518 +2024-01-01 17:22:33,956 - pyskl - INFO - Epoch [83][200/3746] lr: 4.264e-02, eta: 1 day, 21:06:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3422, top5_acc: 0.6005, loss_cls: 4.1203, loss: 4.1203 +2024-01-01 17:23:33,673 - pyskl - INFO - Epoch [83][300/3746] lr: 4.261e-02, eta: 1 day, 21:04:56, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5989, loss_cls: 4.1269, loss: 4.1269 +2024-01-01 17:24:33,709 - pyskl - INFO - Epoch [83][400/3746] lr: 4.259e-02, eta: 1 day, 21:03:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3425, top5_acc: 0.5919, loss_cls: 4.1569, loss: 4.1569 +2024-01-01 17:25:34,431 - pyskl - INFO - Epoch [83][500/3746] lr: 4.256e-02, eta: 1 day, 21:01:19, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3234, top5_acc: 0.5825, loss_cls: 4.2172, loss: 4.2172 +2024-01-01 17:26:35,316 - pyskl - INFO - Epoch [83][600/3746] lr: 4.253e-02, eta: 1 day, 20:59:37, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3320, top5_acc: 0.5884, loss_cls: 4.1680, loss: 4.1680 +2024-01-01 17:27:36,054 - pyskl - INFO - Epoch [83][700/3746] lr: 4.250e-02, eta: 1 day, 20:57:54, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5828, loss_cls: 4.1853, loss: 4.1853 +2024-01-01 17:28:36,833 - pyskl - INFO - Epoch [83][800/3746] lr: 4.247e-02, eta: 1 day, 20:56:12, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3281, top5_acc: 0.5825, loss_cls: 4.2472, loss: 4.2472 +2024-01-01 17:29:37,401 - pyskl - INFO - Epoch [83][900/3746] lr: 4.245e-02, eta: 1 day, 20:54:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3494, top5_acc: 0.6038, loss_cls: 4.1110, loss: 4.1110 +2024-01-01 17:30:37,824 - pyskl - INFO - Epoch [83][1000/3746] lr: 4.242e-02, eta: 1 day, 20:52:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5894, loss_cls: 4.2009, loss: 4.2009 +2024-01-01 17:31:38,060 - pyskl - INFO - Epoch [83][1100/3746] lr: 4.239e-02, eta: 1 day, 20:50:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5922, loss_cls: 4.1644, loss: 4.1644 +2024-01-01 17:32:37,924 - pyskl - INFO - Epoch [83][1200/3746] lr: 4.236e-02, eta: 1 day, 20:49:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6048, loss_cls: 4.1034, loss: 4.1034 +2024-01-01 17:33:37,896 - pyskl - INFO - Epoch [83][1300/3746] lr: 4.234e-02, eta: 1 day, 20:47:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5870, loss_cls: 4.1768, loss: 4.1768 +2024-01-01 17:34:37,687 - pyskl - INFO - Epoch [83][1400/3746] lr: 4.231e-02, eta: 1 day, 20:45:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3314, top5_acc: 0.6006, loss_cls: 4.1418, loss: 4.1418 +2024-01-01 17:35:37,498 - pyskl - INFO - Epoch [83][1500/3746] lr: 4.228e-02, eta: 1 day, 20:43:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3255, top5_acc: 0.5763, loss_cls: 4.2218, loss: 4.2218 +2024-01-01 17:36:37,099 - pyskl - INFO - Epoch [83][1600/3746] lr: 4.225e-02, eta: 1 day, 20:41:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5852, loss_cls: 4.1967, loss: 4.1967 +2024-01-01 17:37:37,610 - pyskl - INFO - Epoch [83][1700/3746] lr: 4.223e-02, eta: 1 day, 20:39:55, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.5920, loss_cls: 4.1795, loss: 4.1795 +2024-01-01 17:38:38,395 - pyskl - INFO - Epoch [83][1800/3746] lr: 4.220e-02, eta: 1 day, 20:38:17, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5923, loss_cls: 4.1551, loss: 4.1551 +2024-01-01 17:39:38,321 - pyskl - INFO - Epoch [83][1900/3746] lr: 4.217e-02, eta: 1 day, 20:36:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5839, loss_cls: 4.1920, loss: 4.1920 +2024-01-01 17:40:39,076 - pyskl - INFO - Epoch [83][2000/3746] lr: 4.214e-02, eta: 1 day, 20:34:52, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3406, top5_acc: 0.5911, loss_cls: 4.1607, loss: 4.1607 +2024-01-01 17:41:40,036 - pyskl - INFO - Epoch [83][2100/3746] lr: 4.212e-02, eta: 1 day, 20:33:18, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5984, loss_cls: 4.1467, loss: 4.1467 +2024-01-01 17:42:39,796 - pyskl - INFO - Epoch [83][2200/3746] lr: 4.209e-02, eta: 1 day, 20:31:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3280, top5_acc: 0.5909, loss_cls: 4.2003, loss: 4.2003 +2024-01-01 17:43:39,644 - pyskl - INFO - Epoch [83][2300/3746] lr: 4.206e-02, eta: 1 day, 20:29:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5905, loss_cls: 4.1859, loss: 4.1859 +2024-01-01 17:44:39,537 - pyskl - INFO - Epoch [83][2400/3746] lr: 4.203e-02, eta: 1 day, 20:27:56, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5903, loss_cls: 4.1632, loss: 4.1632 +2024-01-01 17:45:39,358 - pyskl - INFO - Epoch [83][2500/3746] lr: 4.201e-02, eta: 1 day, 20:26:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3298, top5_acc: 0.5881, loss_cls: 4.1981, loss: 4.1981 +2024-01-01 17:46:39,581 - pyskl - INFO - Epoch [83][2600/3746] lr: 4.198e-02, eta: 1 day, 20:24:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5914, loss_cls: 4.2104, loss: 4.2104 +2024-01-01 17:47:39,447 - pyskl - INFO - Epoch [83][2700/3746] lr: 4.195e-02, eta: 1 day, 20:22:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3362, top5_acc: 0.5906, loss_cls: 4.1602, loss: 4.1602 +2024-01-01 17:48:39,257 - pyskl - INFO - Epoch [83][2800/3746] lr: 4.192e-02, eta: 1 day, 20:20:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3467, top5_acc: 0.6030, loss_cls: 4.1149, loss: 4.1149 +2024-01-01 17:49:38,794 - pyskl - INFO - Epoch [83][2900/3746] lr: 4.190e-02, eta: 1 day, 20:19:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5948, loss_cls: 4.1805, loss: 4.1805 +2024-01-01 17:50:38,340 - pyskl - INFO - Epoch [83][3000/3746] lr: 4.187e-02, eta: 1 day, 20:17:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5820, loss_cls: 4.2011, loss: 4.2011 +2024-01-01 17:51:38,073 - pyskl - INFO - Epoch [83][3100/3746] lr: 4.184e-02, eta: 1 day, 20:15:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5845, loss_cls: 4.2256, loss: 4.2256 +2024-01-01 17:52:38,440 - pyskl - INFO - Epoch [83][3200/3746] lr: 4.181e-02, eta: 1 day, 20:14:01, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3219, top5_acc: 0.5917, loss_cls: 4.1989, loss: 4.1989 +2024-01-01 17:53:39,065 - pyskl - INFO - Epoch [83][3300/3746] lr: 4.178e-02, eta: 1 day, 20:12:27, time: 0.606, data_time: 0.001, memory: 16177, top1_acc: 0.3289, top5_acc: 0.5920, loss_cls: 4.1659, loss: 4.1659 +2024-01-01 17:54:39,332 - pyskl - INFO - Epoch [83][3400/3746] lr: 4.176e-02, eta: 1 day, 20:10:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3195, top5_acc: 0.5886, loss_cls: 4.2279, loss: 4.2279 +2024-01-01 17:55:39,219 - pyskl - INFO - Epoch [83][3500/3746] lr: 4.173e-02, eta: 1 day, 20:09:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3419, top5_acc: 0.5967, loss_cls: 4.1444, loss: 4.1444 +2024-01-01 17:56:40,143 - pyskl - INFO - Epoch [83][3600/3746] lr: 4.170e-02, eta: 1 day, 20:07:38, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5772, loss_cls: 4.2232, loss: 4.2232 +2024-01-01 17:57:41,092 - pyskl - INFO - Epoch [83][3700/3746] lr: 4.167e-02, eta: 1 day, 20:06:08, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3353, top5_acc: 0.5961, loss_cls: 4.1716, loss: 4.1716 +2024-01-01 17:58:10,745 - pyskl - INFO - Saving checkpoint at 83 epochs +2024-01-01 18:00:04,240 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 18:00:05,093 - pyskl - INFO - +top1_acc 0.2757 +top5_acc 0.5261 +2024-01-01 18:00:05,093 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 18:00:05,124 - pyskl - INFO - +mean_acc 0.2755 +2024-01-01 18:00:05,129 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_79.pth was removed +2024-01-01 18:00:05,384 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_83.pth. +2024-01-01 18:00:05,384 - pyskl - INFO - Best top1_acc is 0.2757 at 83 epoch. +2024-01-01 18:00:05,391 - pyskl - INFO - Epoch(val) [83][309] top1_acc: 0.2757, top5_acc: 0.5261, mean_class_accuracy: 0.2755 +2024-01-01 18:03:19,595 - pyskl - INFO - Epoch [84][100/3746] lr: 4.163e-02, eta: 1 day, 20:23:28, time: 1.942, data_time: 1.339, memory: 16177, top1_acc: 0.3444, top5_acc: 0.5998, loss_cls: 4.1136, loss: 4.1136 +2024-01-01 18:04:19,577 - pyskl - INFO - Epoch [84][200/3746] lr: 4.161e-02, eta: 1 day, 20:21:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6072, loss_cls: 4.1117, loss: 4.1117 +2024-01-01 18:05:19,378 - pyskl - INFO - Epoch [84][300/3746] lr: 4.158e-02, eta: 1 day, 20:19:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3350, top5_acc: 0.5952, loss_cls: 4.1631, loss: 4.1631 +2024-01-01 18:06:20,127 - pyskl - INFO - Epoch [84][400/3746] lr: 4.155e-02, eta: 1 day, 20:18:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.5953, loss_cls: 4.1549, loss: 4.1549 +2024-01-01 18:07:19,919 - pyskl - INFO - Epoch [84][500/3746] lr: 4.152e-02, eta: 1 day, 20:16:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5886, loss_cls: 4.1749, loss: 4.1749 +2024-01-01 18:08:19,524 - pyskl - INFO - Epoch [84][600/3746] lr: 4.150e-02, eta: 1 day, 20:14:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3383, top5_acc: 0.5975, loss_cls: 4.1351, loss: 4.1351 +2024-01-01 18:09:19,175 - pyskl - INFO - Epoch [84][700/3746] lr: 4.147e-02, eta: 1 day, 20:13:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3533, top5_acc: 0.5983, loss_cls: 4.1024, loss: 4.1024 +2024-01-01 18:10:19,320 - pyskl - INFO - Epoch [84][800/3746] lr: 4.144e-02, eta: 1 day, 20:11:21, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5984, loss_cls: 4.1420, loss: 4.1420 +2024-01-01 18:11:19,104 - pyskl - INFO - Epoch [84][900/3746] lr: 4.141e-02, eta: 1 day, 20:09:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3269, top5_acc: 0.5892, loss_cls: 4.1801, loss: 4.1801 +2024-01-01 18:12:18,918 - pyskl - INFO - Epoch [84][1000/3746] lr: 4.139e-02, eta: 1 day, 20:07:53, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3422, top5_acc: 0.5961, loss_cls: 4.1452, loss: 4.1452 +2024-01-01 18:13:19,022 - pyskl - INFO - Epoch [84][1100/3746] lr: 4.136e-02, eta: 1 day, 20:06:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5964, loss_cls: 4.1809, loss: 4.1809 +2024-01-01 18:14:18,679 - pyskl - INFO - Epoch [84][1200/3746] lr: 4.133e-02, eta: 1 day, 20:04:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5975, loss_cls: 4.1467, loss: 4.1467 +2024-01-01 18:15:18,279 - pyskl - INFO - Epoch [84][1300/3746] lr: 4.130e-02, eta: 1 day, 20:02:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3241, top5_acc: 0.5875, loss_cls: 4.1939, loss: 4.1939 +2024-01-01 18:16:19,001 - pyskl - INFO - Epoch [84][1400/3746] lr: 4.128e-02, eta: 1 day, 20:01:11, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3189, top5_acc: 0.5795, loss_cls: 4.2309, loss: 4.2309 +2024-01-01 18:17:19,335 - pyskl - INFO - Epoch [84][1500/3746] lr: 4.125e-02, eta: 1 day, 19:59:35, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5969, loss_cls: 4.1550, loss: 4.1550 +2024-01-01 18:18:20,198 - pyskl - INFO - Epoch [84][1600/3746] lr: 4.122e-02, eta: 1 day, 19:58:04, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3444, top5_acc: 0.5998, loss_cls: 4.1470, loss: 4.1470 +2024-01-01 18:19:20,617 - pyskl - INFO - Epoch [84][1700/3746] lr: 4.119e-02, eta: 1 day, 19:56:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.6022, loss_cls: 4.1243, loss: 4.1243 +2024-01-01 18:20:21,242 - pyskl - INFO - Epoch [84][1800/3746] lr: 4.117e-02, eta: 1 day, 19:54:56, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.6027, loss_cls: 4.1172, loss: 4.1172 +2024-01-01 18:21:21,538 - pyskl - INFO - Epoch [84][1900/3746] lr: 4.114e-02, eta: 1 day, 19:53:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3270, top5_acc: 0.5900, loss_cls: 4.2237, loss: 4.2237 +2024-01-01 18:22:21,559 - pyskl - INFO - Epoch [84][2000/3746] lr: 4.111e-02, eta: 1 day, 19:51:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5991, loss_cls: 4.1765, loss: 4.1765 +2024-01-01 18:23:21,048 - pyskl - INFO - Epoch [84][2100/3746] lr: 4.108e-02, eta: 1 day, 19:49:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5863, loss_cls: 4.1978, loss: 4.1978 +2024-01-01 18:24:20,506 - pyskl - INFO - Epoch [84][2200/3746] lr: 4.106e-02, eta: 1 day, 19:48:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3394, top5_acc: 0.5998, loss_cls: 4.1319, loss: 4.1319 +2024-01-01 18:25:20,148 - pyskl - INFO - Epoch [84][2300/3746] lr: 4.103e-02, eta: 1 day, 19:46:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3305, top5_acc: 0.5936, loss_cls: 4.1601, loss: 4.1601 +2024-01-01 18:26:19,963 - pyskl - INFO - Epoch [84][2400/3746] lr: 4.100e-02, eta: 1 day, 19:44:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3355, top5_acc: 0.5919, loss_cls: 4.1511, loss: 4.1511 +2024-01-01 18:27:19,941 - pyskl - INFO - Epoch [84][2500/3746] lr: 4.097e-02, eta: 1 day, 19:43:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3233, top5_acc: 0.5902, loss_cls: 4.1868, loss: 4.1868 +2024-01-01 18:28:19,495 - pyskl - INFO - Epoch [84][2600/3746] lr: 4.095e-02, eta: 1 day, 19:41:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3406, top5_acc: 0.5992, loss_cls: 4.1430, loss: 4.1430 +2024-01-01 18:29:19,022 - pyskl - INFO - Epoch [84][2700/3746] lr: 4.092e-02, eta: 1 day, 19:39:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5848, loss_cls: 4.1834, loss: 4.1834 +2024-01-01 18:30:18,458 - pyskl - INFO - Epoch [84][2800/3746] lr: 4.089e-02, eta: 1 day, 19:38:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3294, top5_acc: 0.5813, loss_cls: 4.2208, loss: 4.2208 +2024-01-01 18:31:17,844 - pyskl - INFO - Epoch [84][2900/3746] lr: 4.086e-02, eta: 1 day, 19:36:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.6006, loss_cls: 4.1281, loss: 4.1281 +2024-01-01 18:32:17,150 - pyskl - INFO - Epoch [84][3000/3746] lr: 4.084e-02, eta: 1 day, 19:34:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3347, top5_acc: 0.5931, loss_cls: 4.1929, loss: 4.1929 +2024-01-01 18:33:16,746 - pyskl - INFO - Epoch [84][3100/3746] lr: 4.081e-02, eta: 1 day, 19:33:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3291, top5_acc: 0.5764, loss_cls: 4.2166, loss: 4.2166 +2024-01-01 18:34:16,251 - pyskl - INFO - Epoch [84][3200/3746] lr: 4.078e-02, eta: 1 day, 19:31:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.5925, loss_cls: 4.1390, loss: 4.1390 +2024-01-01 18:35:16,182 - pyskl - INFO - Epoch [84][3300/3746] lr: 4.075e-02, eta: 1 day, 19:29:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3320, top5_acc: 0.5875, loss_cls: 4.1664, loss: 4.1664 +2024-01-01 18:36:16,358 - pyskl - INFO - Epoch [84][3400/3746] lr: 4.073e-02, eta: 1 day, 19:28:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3272, top5_acc: 0.5877, loss_cls: 4.1748, loss: 4.1748 +2024-01-01 18:37:16,244 - pyskl - INFO - Epoch [84][3500/3746] lr: 4.070e-02, eta: 1 day, 19:26:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5886, loss_cls: 4.1883, loss: 4.1883 +2024-01-01 18:38:16,980 - pyskl - INFO - Epoch [84][3600/3746] lr: 4.067e-02, eta: 1 day, 19:25:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.5934, loss_cls: 4.1519, loss: 4.1519 +2024-01-01 18:39:18,460 - pyskl - INFO - Epoch [84][3700/3746] lr: 4.064e-02, eta: 1 day, 19:24:06, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3323, top5_acc: 0.5845, loss_cls: 4.1874, loss: 4.1874 +2024-01-01 18:39:49,019 - pyskl - INFO - Saving checkpoint at 84 epochs +2024-01-01 18:41:43,433 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 18:41:44,288 - pyskl - INFO - +top1_acc 0.2743 +top5_acc 0.5300 +2024-01-01 18:41:44,288 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 18:41:44,327 - pyskl - INFO - +mean_acc 0.2739 +2024-01-01 18:41:44,338 - pyskl - INFO - Epoch(val) [84][309] top1_acc: 0.2743, top5_acc: 0.5300, mean_class_accuracy: 0.2739 +2024-01-01 18:45:07,120 - pyskl - INFO - Epoch [85][100/3746] lr: 4.060e-02, eta: 1 day, 19:39:51, time: 2.028, data_time: 1.424, memory: 16177, top1_acc: 0.3442, top5_acc: 0.6091, loss_cls: 4.1262, loss: 4.1262 +2024-01-01 18:46:06,528 - pyskl - INFO - Epoch [85][200/3746] lr: 4.058e-02, eta: 1 day, 19:38:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3422, top5_acc: 0.6041, loss_cls: 4.0791, loss: 4.0791 +2024-01-01 18:47:06,670 - pyskl - INFO - Epoch [85][300/3746] lr: 4.055e-02, eta: 1 day, 19:36:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3431, top5_acc: 0.6044, loss_cls: 4.1084, loss: 4.1084 +2024-01-01 18:48:07,342 - pyskl - INFO - Epoch [85][400/3746] lr: 4.052e-02, eta: 1 day, 19:35:02, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3417, top5_acc: 0.6020, loss_cls: 4.1204, loss: 4.1204 +2024-01-01 18:49:07,849 - pyskl - INFO - Epoch [85][500/3746] lr: 4.049e-02, eta: 1 day, 19:33:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3630, top5_acc: 0.6133, loss_cls: 4.0700, loss: 4.0700 +2024-01-01 18:50:07,618 - pyskl - INFO - Epoch [85][600/3746] lr: 4.047e-02, eta: 1 day, 19:31:52, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3292, top5_acc: 0.5905, loss_cls: 4.1801, loss: 4.1801 +2024-01-01 18:51:07,923 - pyskl - INFO - Epoch [85][700/3746] lr: 4.044e-02, eta: 1 day, 19:30:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3412, top5_acc: 0.6102, loss_cls: 4.1198, loss: 4.1198 +2024-01-01 18:52:07,505 - pyskl - INFO - Epoch [85][800/3746] lr: 4.041e-02, eta: 1 day, 19:28:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.6027, loss_cls: 4.1089, loss: 4.1089 +2024-01-01 18:53:07,092 - pyskl - INFO - Epoch [85][900/3746] lr: 4.038e-02, eta: 1 day, 19:27:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3425, top5_acc: 0.5922, loss_cls: 4.1492, loss: 4.1492 +2024-01-01 18:54:06,625 - pyskl - INFO - Epoch [85][1000/3746] lr: 4.036e-02, eta: 1 day, 19:25:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3381, top5_acc: 0.5975, loss_cls: 4.1530, loss: 4.1530 +2024-01-01 18:55:05,990 - pyskl - INFO - Epoch [85][1100/3746] lr: 4.033e-02, eta: 1 day, 19:23:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3361, top5_acc: 0.5919, loss_cls: 4.1510, loss: 4.1510 +2024-01-01 18:56:05,540 - pyskl - INFO - Epoch [85][1200/3746] lr: 4.030e-02, eta: 1 day, 19:22:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5983, loss_cls: 4.1519, loss: 4.1519 +2024-01-01 18:57:04,913 - pyskl - INFO - Epoch [85][1300/3746] lr: 4.027e-02, eta: 1 day, 19:20:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3453, top5_acc: 0.5941, loss_cls: 4.1436, loss: 4.1436 +2024-01-01 18:58:04,388 - pyskl - INFO - Epoch [85][1400/3746] lr: 4.025e-02, eta: 1 day, 19:18:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3364, top5_acc: 0.5913, loss_cls: 4.1503, loss: 4.1503 +2024-01-01 18:59:03,620 - pyskl - INFO - Epoch [85][1500/3746] lr: 4.022e-02, eta: 1 day, 19:17:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3345, top5_acc: 0.5973, loss_cls: 4.1588, loss: 4.1588 +2024-01-01 19:00:02,968 - pyskl - INFO - Epoch [85][1600/3746] lr: 4.019e-02, eta: 1 day, 19:15:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3372, top5_acc: 0.5958, loss_cls: 4.1666, loss: 4.1666 +2024-01-01 19:01:02,743 - pyskl - INFO - Epoch [85][1700/3746] lr: 4.016e-02, eta: 1 day, 19:13:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3364, top5_acc: 0.5941, loss_cls: 4.1823, loss: 4.1823 +2024-01-01 19:02:02,154 - pyskl - INFO - Epoch [85][1800/3746] lr: 4.014e-02, eta: 1 day, 19:12:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3412, top5_acc: 0.5997, loss_cls: 4.1237, loss: 4.1237 +2024-01-01 19:03:01,733 - pyskl - INFO - Epoch [85][1900/3746] lr: 4.011e-02, eta: 1 day, 19:10:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3362, top5_acc: 0.6002, loss_cls: 4.1322, loss: 4.1322 +2024-01-01 19:04:01,203 - pyskl - INFO - Epoch [85][2000/3746] lr: 4.008e-02, eta: 1 day, 19:08:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3370, top5_acc: 0.5936, loss_cls: 4.1639, loss: 4.1639 +2024-01-01 19:05:00,787 - pyskl - INFO - Epoch [85][2100/3746] lr: 4.006e-02, eta: 1 day, 19:07:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3448, top5_acc: 0.6030, loss_cls: 4.1119, loss: 4.1119 +2024-01-01 19:06:00,404 - pyskl - INFO - Epoch [85][2200/3746] lr: 4.003e-02, eta: 1 day, 19:05:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3369, top5_acc: 0.5873, loss_cls: 4.1856, loss: 4.1856 +2024-01-01 19:06:59,908 - pyskl - INFO - Epoch [85][2300/3746] lr: 4.000e-02, eta: 1 day, 19:04:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3395, top5_acc: 0.6006, loss_cls: 4.1212, loss: 4.1212 +2024-01-01 19:07:59,402 - pyskl - INFO - Epoch [85][2400/3746] lr: 3.997e-02, eta: 1 day, 19:02:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3284, top5_acc: 0.5945, loss_cls: 4.1699, loss: 4.1699 +2024-01-01 19:08:59,300 - pyskl - INFO - Epoch [85][2500/3746] lr: 3.995e-02, eta: 1 day, 19:01:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3316, top5_acc: 0.5861, loss_cls: 4.1808, loss: 4.1808 +2024-01-01 19:09:59,011 - pyskl - INFO - Epoch [85][2600/3746] lr: 3.992e-02, eta: 1 day, 18:59:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3334, top5_acc: 0.5891, loss_cls: 4.1870, loss: 4.1870 +2024-01-01 19:10:58,765 - pyskl - INFO - Epoch [85][2700/3746] lr: 3.989e-02, eta: 1 day, 18:57:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5950, loss_cls: 4.1608, loss: 4.1608 +2024-01-01 19:11:58,679 - pyskl - INFO - Epoch [85][2800/3746] lr: 3.986e-02, eta: 1 day, 18:56:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3252, top5_acc: 0.5880, loss_cls: 4.2075, loss: 4.2075 +2024-01-01 19:12:58,127 - pyskl - INFO - Epoch [85][2900/3746] lr: 3.984e-02, eta: 1 day, 18:54:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3337, top5_acc: 0.5867, loss_cls: 4.1877, loss: 4.1877 +2024-01-01 19:13:57,676 - pyskl - INFO - Epoch [85][3000/3746] lr: 3.981e-02, eta: 1 day, 18:53:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3300, top5_acc: 0.5866, loss_cls: 4.1751, loss: 4.1751 +2024-01-01 19:14:57,260 - pyskl - INFO - Epoch [85][3100/3746] lr: 3.978e-02, eta: 1 day, 18:51:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3277, top5_acc: 0.5861, loss_cls: 4.1883, loss: 4.1883 +2024-01-01 19:15:57,261 - pyskl - INFO - Epoch [85][3200/3746] lr: 3.975e-02, eta: 1 day, 18:50:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.5977, loss_cls: 4.1112, loss: 4.1112 +2024-01-01 19:16:56,799 - pyskl - INFO - Epoch [85][3300/3746] lr: 3.973e-02, eta: 1 day, 18:48:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3372, top5_acc: 0.5858, loss_cls: 4.1732, loss: 4.1732 +2024-01-01 19:17:56,335 - pyskl - INFO - Epoch [85][3400/3746] lr: 3.970e-02, eta: 1 day, 18:47:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3358, top5_acc: 0.5944, loss_cls: 4.1279, loss: 4.1279 +2024-01-01 19:18:56,087 - pyskl - INFO - Epoch [85][3500/3746] lr: 3.967e-02, eta: 1 day, 18:45:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3312, top5_acc: 0.5911, loss_cls: 4.1564, loss: 4.1564 +2024-01-01 19:19:56,122 - pyskl - INFO - Epoch [85][3600/3746] lr: 3.964e-02, eta: 1 day, 18:44:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.6000, loss_cls: 4.1458, loss: 4.1458 +2024-01-01 19:20:57,295 - pyskl - INFO - Epoch [85][3700/3746] lr: 3.962e-02, eta: 1 day, 18:42:45, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3345, top5_acc: 0.5814, loss_cls: 4.1716, loss: 4.1716 +2024-01-01 19:21:27,023 - pyskl - INFO - Saving checkpoint at 85 epochs +2024-01-01 19:23:22,703 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 19:23:23,533 - pyskl - INFO - +top1_acc 0.2820 +top5_acc 0.5217 +2024-01-01 19:23:23,533 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 19:23:23,568 - pyskl - INFO - +mean_acc 0.2817 +2024-01-01 19:23:23,574 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_83.pth was removed +2024-01-01 19:23:23,852 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_85.pth. +2024-01-01 19:23:23,853 - pyskl - INFO - Best top1_acc is 0.2820 at 85 epoch. +2024-01-01 19:23:23,871 - pyskl - INFO - Epoch(val) [85][309] top1_acc: 0.2820, top5_acc: 0.5217, mean_class_accuracy: 0.2817 +2024-01-01 19:26:43,624 - pyskl - INFO - Epoch [86][100/3746] lr: 3.958e-02, eta: 1 day, 18:55:43, time: 1.997, data_time: 1.392, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6055, loss_cls: 4.0692, loss: 4.0692 +2024-01-01 19:27:44,002 - pyskl - INFO - Epoch [86][200/3746] lr: 3.955e-02, eta: 1 day, 18:54:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3447, top5_acc: 0.6036, loss_cls: 4.1055, loss: 4.1055 +2024-01-01 19:28:44,067 - pyskl - INFO - Epoch [86][300/3746] lr: 3.952e-02, eta: 1 day, 18:52:44, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3520, top5_acc: 0.5978, loss_cls: 4.0984, loss: 4.0984 +2024-01-01 19:29:44,251 - pyskl - INFO - Epoch [86][400/3746] lr: 3.950e-02, eta: 1 day, 18:51:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.6017, loss_cls: 4.0933, loss: 4.0933 +2024-01-01 19:30:44,451 - pyskl - INFO - Epoch [86][500/3746] lr: 3.947e-02, eta: 1 day, 18:49:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3411, top5_acc: 0.6041, loss_cls: 4.1022, loss: 4.1022 +2024-01-01 19:31:44,129 - pyskl - INFO - Epoch [86][600/3746] lr: 3.944e-02, eta: 1 day, 18:48:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6052, loss_cls: 4.0848, loss: 4.0848 +2024-01-01 19:32:43,714 - pyskl - INFO - Epoch [86][700/3746] lr: 3.941e-02, eta: 1 day, 18:46:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3497, top5_acc: 0.5992, loss_cls: 4.1212, loss: 4.1212 +2024-01-01 19:33:43,978 - pyskl - INFO - Epoch [86][800/3746] lr: 3.939e-02, eta: 1 day, 18:45:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3317, top5_acc: 0.5917, loss_cls: 4.1616, loss: 4.1616 +2024-01-01 19:34:44,182 - pyskl - INFO - Epoch [86][900/3746] lr: 3.936e-02, eta: 1 day, 18:43:40, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3417, top5_acc: 0.6006, loss_cls: 4.1037, loss: 4.1037 +2024-01-01 19:35:44,349 - pyskl - INFO - Epoch [86][1000/3746] lr: 3.933e-02, eta: 1 day, 18:42:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3264, top5_acc: 0.5938, loss_cls: 4.1539, loss: 4.1539 +2024-01-01 19:36:44,670 - pyskl - INFO - Epoch [86][1100/3746] lr: 3.930e-02, eta: 1 day, 18:40:44, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3389, top5_acc: 0.6030, loss_cls: 4.1167, loss: 4.1167 +2024-01-01 19:37:45,173 - pyskl - INFO - Epoch [86][1200/3746] lr: 3.928e-02, eta: 1 day, 18:39:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3408, top5_acc: 0.6075, loss_cls: 4.1063, loss: 4.1063 +2024-01-01 19:38:45,332 - pyskl - INFO - Epoch [86][1300/3746] lr: 3.925e-02, eta: 1 day, 18:37:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3461, top5_acc: 0.6020, loss_cls: 4.1117, loss: 4.1117 +2024-01-01 19:39:45,609 - pyskl - INFO - Epoch [86][1400/3746] lr: 3.922e-02, eta: 1 day, 18:36:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.5986, loss_cls: 4.1035, loss: 4.1035 +2024-01-01 19:40:45,830 - pyskl - INFO - Epoch [86][1500/3746] lr: 3.919e-02, eta: 1 day, 18:34:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3475, top5_acc: 0.6088, loss_cls: 4.1015, loss: 4.1015 +2024-01-01 19:41:46,037 - pyskl - INFO - Epoch [86][1600/3746] lr: 3.917e-02, eta: 1 day, 18:33:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3366, top5_acc: 0.6005, loss_cls: 4.1277, loss: 4.1277 +2024-01-01 19:42:46,026 - pyskl - INFO - Epoch [86][1700/3746] lr: 3.914e-02, eta: 1 day, 18:31:58, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5947, loss_cls: 4.1554, loss: 4.1554 +2024-01-01 19:43:45,665 - pyskl - INFO - Epoch [86][1800/3746] lr: 3.911e-02, eta: 1 day, 18:30:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3339, top5_acc: 0.5941, loss_cls: 4.1595, loss: 4.1595 +2024-01-01 19:44:45,596 - pyskl - INFO - Epoch [86][1900/3746] lr: 3.909e-02, eta: 1 day, 18:28:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3506, top5_acc: 0.6084, loss_cls: 4.0896, loss: 4.0896 +2024-01-01 19:45:45,935 - pyskl - INFO - Epoch [86][2000/3746] lr: 3.906e-02, eta: 1 day, 18:27:32, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5889, loss_cls: 4.1720, loss: 4.1720 +2024-01-01 19:46:46,356 - pyskl - INFO - Epoch [86][2100/3746] lr: 3.903e-02, eta: 1 day, 18:26:07, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.5955, loss_cls: 4.1397, loss: 4.1397 +2024-01-01 19:47:46,420 - pyskl - INFO - Epoch [86][2200/3746] lr: 3.900e-02, eta: 1 day, 18:24:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.5995, loss_cls: 4.1379, loss: 4.1379 +2024-01-01 19:48:47,728 - pyskl - INFO - Epoch [86][2300/3746] lr: 3.898e-02, eta: 1 day, 18:23:22, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3417, top5_acc: 0.5900, loss_cls: 4.1729, loss: 4.1729 +2024-01-01 19:49:49,065 - pyskl - INFO - Epoch [86][2400/3746] lr: 3.895e-02, eta: 1 day, 18:22:04, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3442, top5_acc: 0.6075, loss_cls: 4.1043, loss: 4.1043 +2024-01-01 19:50:50,028 - pyskl - INFO - Epoch [86][2500/3746] lr: 3.892e-02, eta: 1 day, 18:20:44, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3398, top5_acc: 0.5983, loss_cls: 4.1368, loss: 4.1368 +2024-01-01 19:51:51,278 - pyskl - INFO - Epoch [86][2600/3746] lr: 3.889e-02, eta: 1 day, 18:19:26, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3342, top5_acc: 0.5984, loss_cls: 4.1537, loss: 4.1537 +2024-01-01 19:52:52,579 - pyskl - INFO - Epoch [86][2700/3746] lr: 3.887e-02, eta: 1 day, 18:18:08, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6006, loss_cls: 4.1211, loss: 4.1211 +2024-01-01 19:53:53,427 - pyskl - INFO - Epoch [86][2800/3746] lr: 3.884e-02, eta: 1 day, 18:16:47, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3258, top5_acc: 0.5783, loss_cls: 4.2032, loss: 4.2032 +2024-01-01 19:54:53,902 - pyskl - INFO - Epoch [86][2900/3746] lr: 3.881e-02, eta: 1 day, 18:15:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3381, top5_acc: 0.5872, loss_cls: 4.1634, loss: 4.1634 +2024-01-01 19:55:54,751 - pyskl - INFO - Epoch [86][3000/3746] lr: 3.879e-02, eta: 1 day, 18:14:03, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.5953, loss_cls: 4.1502, loss: 4.1502 +2024-01-01 19:56:55,252 - pyskl - INFO - Epoch [86][3100/3746] lr: 3.876e-02, eta: 1 day, 18:12:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5917, loss_cls: 4.1805, loss: 4.1805 +2024-01-01 19:57:55,482 - pyskl - INFO - Epoch [86][3200/3746] lr: 3.873e-02, eta: 1 day, 18:11:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3403, top5_acc: 0.5933, loss_cls: 4.1408, loss: 4.1408 +2024-01-01 19:58:56,683 - pyskl - INFO - Epoch [86][3300/3746] lr: 3.870e-02, eta: 1 day, 18:09:58, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3286, top5_acc: 0.5945, loss_cls: 4.1651, loss: 4.1651 +2024-01-01 19:59:57,999 - pyskl - INFO - Epoch [86][3400/3746] lr: 3.868e-02, eta: 1 day, 18:08:41, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3319, top5_acc: 0.5844, loss_cls: 4.1813, loss: 4.1813 +2024-01-01 20:00:59,528 - pyskl - INFO - Epoch [86][3500/3746] lr: 3.865e-02, eta: 1 day, 18:07:26, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3266, top5_acc: 0.5830, loss_cls: 4.2215, loss: 4.2215 +2024-01-01 20:02:00,893 - pyskl - INFO - Epoch [86][3600/3746] lr: 3.862e-02, eta: 1 day, 18:06:10, time: 0.614, data_time: 0.001, memory: 16177, top1_acc: 0.3369, top5_acc: 0.6028, loss_cls: 4.1048, loss: 4.1048 +2024-01-01 20:03:02,890 - pyskl - INFO - Epoch [86][3700/3746] lr: 3.860e-02, eta: 1 day, 18:04:58, time: 0.620, data_time: 0.000, memory: 16177, top1_acc: 0.3372, top5_acc: 0.5903, loss_cls: 4.1638, loss: 4.1638 +2024-01-01 20:03:32,915 - pyskl - INFO - Saving checkpoint at 86 epochs +2024-01-01 20:05:29,488 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 20:05:30,308 - pyskl - INFO - +top1_acc 0.2787 +top5_acc 0.5317 +2024-01-01 20:05:30,308 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 20:05:30,341 - pyskl - INFO - +mean_acc 0.2785 +2024-01-01 20:05:30,351 - pyskl - INFO - Epoch(val) [86][309] top1_acc: 0.2787, top5_acc: 0.5317, mean_class_accuracy: 0.2785 +2024-01-01 20:08:46,714 - pyskl - INFO - Epoch [87][100/3746] lr: 3.856e-02, eta: 1 day, 18:15:44, time: 1.964, data_time: 1.359, memory: 16177, top1_acc: 0.3427, top5_acc: 0.6105, loss_cls: 4.0771, loss: 4.0771 +2024-01-01 20:09:47,436 - pyskl - INFO - Epoch [87][200/3746] lr: 3.853e-02, eta: 1 day, 18:14:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3417, top5_acc: 0.6027, loss_cls: 4.1017, loss: 4.1017 +2024-01-01 20:10:47,666 - pyskl - INFO - Epoch [87][300/3746] lr: 3.850e-02, eta: 1 day, 18:12:54, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3489, top5_acc: 0.6094, loss_cls: 4.0902, loss: 4.0902 +2024-01-01 20:11:47,823 - pyskl - INFO - Epoch [87][400/3746] lr: 3.847e-02, eta: 1 day, 18:11:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3386, top5_acc: 0.6042, loss_cls: 4.1208, loss: 4.1208 +2024-01-01 20:12:48,360 - pyskl - INFO - Epoch [87][500/3746] lr: 3.845e-02, eta: 1 day, 18:10:04, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3400, top5_acc: 0.6070, loss_cls: 4.1099, loss: 4.1099 +2024-01-01 20:13:48,562 - pyskl - INFO - Epoch [87][600/3746] lr: 3.842e-02, eta: 1 day, 18:08:37, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3419, top5_acc: 0.6019, loss_cls: 4.1032, loss: 4.1032 +2024-01-01 20:14:49,711 - pyskl - INFO - Epoch [87][700/3746] lr: 3.839e-02, eta: 1 day, 18:07:18, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3445, top5_acc: 0.6025, loss_cls: 4.1383, loss: 4.1383 +2024-01-01 20:15:50,328 - pyskl - INFO - Epoch [87][800/3746] lr: 3.837e-02, eta: 1 day, 18:05:55, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6048, loss_cls: 4.0847, loss: 4.0847 +2024-01-01 20:16:50,553 - pyskl - INFO - Epoch [87][900/3746] lr: 3.834e-02, eta: 1 day, 18:04:30, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3361, top5_acc: 0.5936, loss_cls: 4.1449, loss: 4.1449 +2024-01-01 20:17:51,225 - pyskl - INFO - Epoch [87][1000/3746] lr: 3.831e-02, eta: 1 day, 18:03:07, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3361, top5_acc: 0.6048, loss_cls: 4.0884, loss: 4.0884 +2024-01-01 20:18:51,405 - pyskl - INFO - Epoch [87][1100/3746] lr: 3.828e-02, eta: 1 day, 18:01:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3317, top5_acc: 0.5898, loss_cls: 4.1607, loss: 4.1607 +2024-01-01 20:19:51,852 - pyskl - INFO - Epoch [87][1200/3746] lr: 3.826e-02, eta: 1 day, 18:00:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3467, top5_acc: 0.5986, loss_cls: 4.0938, loss: 4.0938 +2024-01-01 20:20:52,157 - pyskl - INFO - Epoch [87][1300/3746] lr: 3.823e-02, eta: 1 day, 17:58:54, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3355, top5_acc: 0.5959, loss_cls: 4.1558, loss: 4.1558 +2024-01-01 20:21:52,430 - pyskl - INFO - Epoch [87][1400/3746] lr: 3.820e-02, eta: 1 day, 17:57:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3341, top5_acc: 0.5836, loss_cls: 4.1934, loss: 4.1934 +2024-01-01 20:22:52,720 - pyskl - INFO - Epoch [87][1500/3746] lr: 3.817e-02, eta: 1 day, 17:56:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3452, top5_acc: 0.6045, loss_cls: 4.1237, loss: 4.1237 +2024-01-01 20:23:52,828 - pyskl - INFO - Epoch [87][1600/3746] lr: 3.815e-02, eta: 1 day, 17:54:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3445, top5_acc: 0.6103, loss_cls: 4.0989, loss: 4.0989 +2024-01-01 20:24:53,297 - pyskl - INFO - Epoch [87][1700/3746] lr: 3.812e-02, eta: 1 day, 17:53:17, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3464, top5_acc: 0.5930, loss_cls: 4.1412, loss: 4.1412 +2024-01-01 20:25:53,281 - pyskl - INFO - Epoch [87][1800/3746] lr: 3.809e-02, eta: 1 day, 17:51:51, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3498, top5_acc: 0.5995, loss_cls: 4.1108, loss: 4.1108 +2024-01-01 20:26:53,277 - pyskl - INFO - Epoch [87][1900/3746] lr: 3.807e-02, eta: 1 day, 17:50:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3450, top5_acc: 0.6031, loss_cls: 4.1350, loss: 4.1350 +2024-01-01 20:27:53,922 - pyskl - INFO - Epoch [87][2000/3746] lr: 3.804e-02, eta: 1 day, 17:49:04, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6055, loss_cls: 4.0918, loss: 4.0918 +2024-01-01 20:28:54,544 - pyskl - INFO - Epoch [87][2100/3746] lr: 3.801e-02, eta: 1 day, 17:47:43, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.6028, loss_cls: 4.1333, loss: 4.1333 +2024-01-01 20:29:55,262 - pyskl - INFO - Epoch [87][2200/3746] lr: 3.798e-02, eta: 1 day, 17:46:22, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3434, top5_acc: 0.6014, loss_cls: 4.0904, loss: 4.0904 +2024-01-01 20:30:56,823 - pyskl - INFO - Epoch [87][2300/3746] lr: 3.796e-02, eta: 1 day, 17:45:07, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.5989, loss_cls: 4.1366, loss: 4.1366 +2024-01-01 20:31:58,221 - pyskl - INFO - Epoch [87][2400/3746] lr: 3.793e-02, eta: 1 day, 17:43:52, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.5978, loss_cls: 4.1222, loss: 4.1222 +2024-01-01 20:32:59,614 - pyskl - INFO - Epoch [87][2500/3746] lr: 3.790e-02, eta: 1 day, 17:42:36, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3387, top5_acc: 0.6053, loss_cls: 4.1057, loss: 4.1057 +2024-01-01 20:34:00,853 - pyskl - INFO - Epoch [87][2600/3746] lr: 3.788e-02, eta: 1 day, 17:41:19, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3423, top5_acc: 0.5934, loss_cls: 4.1438, loss: 4.1438 +2024-01-01 20:35:02,524 - pyskl - INFO - Epoch [87][2700/3746] lr: 3.785e-02, eta: 1 day, 17:40:05, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3506, top5_acc: 0.6038, loss_cls: 4.0951, loss: 4.0951 +2024-01-01 20:36:03,840 - pyskl - INFO - Epoch [87][2800/3746] lr: 3.782e-02, eta: 1 day, 17:38:49, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3364, top5_acc: 0.6011, loss_cls: 4.1165, loss: 4.1165 +2024-01-01 20:37:04,936 - pyskl - INFO - Epoch [87][2900/3746] lr: 3.779e-02, eta: 1 day, 17:37:32, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3358, top5_acc: 0.5994, loss_cls: 4.1428, loss: 4.1428 +2024-01-01 20:38:06,114 - pyskl - INFO - Epoch [87][3000/3746] lr: 3.777e-02, eta: 1 day, 17:36:15, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.5873, loss_cls: 4.1278, loss: 4.1278 +2024-01-01 20:39:07,631 - pyskl - INFO - Epoch [87][3100/3746] lr: 3.774e-02, eta: 1 day, 17:35:01, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3458, top5_acc: 0.6077, loss_cls: 4.1198, loss: 4.1198 +2024-01-01 20:40:08,676 - pyskl - INFO - Epoch [87][3200/3746] lr: 3.771e-02, eta: 1 day, 17:33:43, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3395, top5_acc: 0.5867, loss_cls: 4.1648, loss: 4.1648 +2024-01-01 20:41:10,040 - pyskl - INFO - Epoch [87][3300/3746] lr: 3.769e-02, eta: 1 day, 17:32:28, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3461, top5_acc: 0.6045, loss_cls: 4.1225, loss: 4.1225 +2024-01-01 20:42:11,630 - pyskl - INFO - Epoch [87][3400/3746] lr: 3.766e-02, eta: 1 day, 17:31:14, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.3256, top5_acc: 0.5905, loss_cls: 4.1833, loss: 4.1833 +2024-01-01 20:43:12,857 - pyskl - INFO - Epoch [87][3500/3746] lr: 3.763e-02, eta: 1 day, 17:29:58, time: 0.612, data_time: 0.001, memory: 16177, top1_acc: 0.3406, top5_acc: 0.5978, loss_cls: 4.1263, loss: 4.1263 +2024-01-01 20:44:14,611 - pyskl - INFO - Epoch [87][3600/3746] lr: 3.761e-02, eta: 1 day, 17:28:45, time: 0.618, data_time: 0.001, memory: 16177, top1_acc: 0.3398, top5_acc: 0.5953, loss_cls: 4.1416, loss: 4.1416 +2024-01-01 20:45:15,672 - pyskl - INFO - Epoch [87][3700/3746] lr: 3.758e-02, eta: 1 day, 17:27:28, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3448, top5_acc: 0.6038, loss_cls: 4.1214, loss: 4.1214 +2024-01-01 20:45:45,485 - pyskl - INFO - Saving checkpoint at 87 epochs +2024-01-01 20:47:42,104 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 20:47:43,169 - pyskl - INFO - +top1_acc 0.2806 +top5_acc 0.5329 +2024-01-01 20:47:43,169 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 20:47:43,203 - pyskl - INFO - +mean_acc 0.2802 +2024-01-01 20:47:43,211 - pyskl - INFO - Epoch(val) [87][309] top1_acc: 0.2806, top5_acc: 0.5329, mean_class_accuracy: 0.2802 +2024-01-01 20:50:56,447 - pyskl - INFO - Epoch [88][100/3746] lr: 3.754e-02, eta: 1 day, 17:36:30, time: 1.932, data_time: 1.333, memory: 16177, top1_acc: 0.3594, top5_acc: 0.6138, loss_cls: 4.0452, loss: 4.0452 +2024-01-01 20:51:56,722 - pyskl - INFO - Epoch [88][200/3746] lr: 3.751e-02, eta: 1 day, 17:35:06, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6117, loss_cls: 4.0659, loss: 4.0659 +2024-01-01 20:52:56,856 - pyskl - INFO - Epoch [88][300/3746] lr: 3.748e-02, eta: 1 day, 17:33:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3470, top5_acc: 0.6041, loss_cls: 4.0800, loss: 4.0800 +2024-01-01 20:53:56,778 - pyskl - INFO - Epoch [88][400/3746] lr: 3.746e-02, eta: 1 day, 17:32:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3520, top5_acc: 0.6138, loss_cls: 4.0455, loss: 4.0455 +2024-01-01 20:54:56,407 - pyskl - INFO - Epoch [88][500/3746] lr: 3.743e-02, eta: 1 day, 17:30:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3384, top5_acc: 0.6123, loss_cls: 4.0742, loss: 4.0742 +2024-01-01 20:55:56,346 - pyskl - INFO - Epoch [88][600/3746] lr: 3.740e-02, eta: 1 day, 17:29:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.5945, loss_cls: 4.1336, loss: 4.1336 +2024-01-01 20:56:55,942 - pyskl - INFO - Epoch [88][700/3746] lr: 3.738e-02, eta: 1 day, 17:27:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3536, top5_acc: 0.6072, loss_cls: 4.0732, loss: 4.0732 +2024-01-01 20:57:55,854 - pyskl - INFO - Epoch [88][800/3746] lr: 3.735e-02, eta: 1 day, 17:26:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3448, top5_acc: 0.6119, loss_cls: 4.1196, loss: 4.1196 +2024-01-01 20:58:56,000 - pyskl - INFO - Epoch [88][900/3746] lr: 3.732e-02, eta: 1 day, 17:25:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.6020, loss_cls: 4.1141, loss: 4.1141 +2024-01-01 20:59:56,420 - pyskl - INFO - Epoch [88][1000/3746] lr: 3.730e-02, eta: 1 day, 17:23:46, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3394, top5_acc: 0.6027, loss_cls: 4.1082, loss: 4.1082 +2024-01-01 21:00:57,264 - pyskl - INFO - Epoch [88][1100/3746] lr: 3.727e-02, eta: 1 day, 17:22:27, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3386, top5_acc: 0.6103, loss_cls: 4.0706, loss: 4.0706 +2024-01-01 21:01:58,444 - pyskl - INFO - Epoch [88][1200/3746] lr: 3.724e-02, eta: 1 day, 17:21:10, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3533, top5_acc: 0.6027, loss_cls: 4.0919, loss: 4.0919 +2024-01-01 21:02:59,779 - pyskl - INFO - Epoch [88][1300/3746] lr: 3.721e-02, eta: 1 day, 17:19:54, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5986, loss_cls: 4.1383, loss: 4.1383 +2024-01-01 21:04:01,190 - pyskl - INFO - Epoch [88][1400/3746] lr: 3.719e-02, eta: 1 day, 17:18:38, time: 0.614, data_time: 0.000, memory: 16177, top1_acc: 0.3412, top5_acc: 0.5903, loss_cls: 4.1397, loss: 4.1397 +2024-01-01 21:05:02,881 - pyskl - INFO - Epoch [88][1500/3746] lr: 3.716e-02, eta: 1 day, 17:17:25, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.5939, loss_cls: 4.1074, loss: 4.1074 +2024-01-01 21:06:04,349 - pyskl - INFO - Epoch [88][1600/3746] lr: 3.713e-02, eta: 1 day, 17:16:10, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3475, top5_acc: 0.6000, loss_cls: 4.1222, loss: 4.1222 +2024-01-01 21:07:05,293 - pyskl - INFO - Epoch [88][1700/3746] lr: 3.711e-02, eta: 1 day, 17:14:52, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3563, top5_acc: 0.6058, loss_cls: 4.0739, loss: 4.0739 +2024-01-01 21:08:05,471 - pyskl - INFO - Epoch [88][1800/3746] lr: 3.708e-02, eta: 1 day, 17:13:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.6058, loss_cls: 4.1002, loss: 4.1002 +2024-01-01 21:09:06,528 - pyskl - INFO - Epoch [88][1900/3746] lr: 3.705e-02, eta: 1 day, 17:12:12, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3428, top5_acc: 0.5966, loss_cls: 4.1287, loss: 4.1287 +2024-01-01 21:10:08,063 - pyskl - INFO - Epoch [88][2000/3746] lr: 3.703e-02, eta: 1 day, 17:10:58, time: 0.615, data_time: 0.000, memory: 16177, top1_acc: 0.3433, top5_acc: 0.5981, loss_cls: 4.1280, loss: 4.1280 +2024-01-01 21:11:09,795 - pyskl - INFO - Epoch [88][2100/3746] lr: 3.700e-02, eta: 1 day, 17:09:45, time: 0.617, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.6070, loss_cls: 4.1111, loss: 4.1111 +2024-01-01 21:12:10,203 - pyskl - INFO - Epoch [88][2200/3746] lr: 3.697e-02, eta: 1 day, 17:08:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3528, top5_acc: 0.6041, loss_cls: 4.0969, loss: 4.0969 +2024-01-01 21:13:10,512 - pyskl - INFO - Epoch [88][2300/3746] lr: 3.694e-02, eta: 1 day, 17:07:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3328, top5_acc: 0.6028, loss_cls: 4.1508, loss: 4.1508 +2024-01-01 21:14:10,811 - pyskl - INFO - Epoch [88][2400/3746] lr: 3.692e-02, eta: 1 day, 17:05:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3489, top5_acc: 0.6083, loss_cls: 4.0925, loss: 4.0925 +2024-01-01 21:15:10,910 - pyskl - INFO - Epoch [88][2500/3746] lr: 3.689e-02, eta: 1 day, 17:04:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3397, top5_acc: 0.5981, loss_cls: 4.1160, loss: 4.1160 +2024-01-01 21:16:11,021 - pyskl - INFO - Epoch [88][2600/3746] lr: 3.686e-02, eta: 1 day, 17:02:58, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3370, top5_acc: 0.5938, loss_cls: 4.1566, loss: 4.1566 +2024-01-01 21:17:11,332 - pyskl - INFO - Epoch [88][2700/3746] lr: 3.684e-02, eta: 1 day, 17:01:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3417, top5_acc: 0.6027, loss_cls: 4.1086, loss: 4.1086 +2024-01-01 21:18:11,064 - pyskl - INFO - Epoch [88][2800/3746] lr: 3.681e-02, eta: 1 day, 17:00:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3336, top5_acc: 0.5928, loss_cls: 4.1428, loss: 4.1428 +2024-01-01 21:19:11,186 - pyskl - INFO - Epoch [88][2900/3746] lr: 3.678e-02, eta: 1 day, 16:58:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.6083, loss_cls: 4.0876, loss: 4.0876 +2024-01-01 21:20:11,218 - pyskl - INFO - Epoch [88][3000/3746] lr: 3.676e-02, eta: 1 day, 16:57:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3492, top5_acc: 0.6012, loss_cls: 4.1031, loss: 4.1031 +2024-01-01 21:21:11,170 - pyskl - INFO - Epoch [88][3100/3746] lr: 3.673e-02, eta: 1 day, 16:56:07, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.5989, loss_cls: 4.1069, loss: 4.1069 +2024-01-01 21:22:10,771 - pyskl - INFO - Epoch [88][3200/3746] lr: 3.670e-02, eta: 1 day, 16:54:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3403, top5_acc: 0.5916, loss_cls: 4.1272, loss: 4.1272 +2024-01-01 21:23:10,519 - pyskl - INFO - Epoch [88][3300/3746] lr: 3.667e-02, eta: 1 day, 16:53:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3378, top5_acc: 0.5964, loss_cls: 4.1410, loss: 4.1410 +2024-01-01 21:24:09,876 - pyskl - INFO - Epoch [88][3400/3746] lr: 3.665e-02, eta: 1 day, 16:51:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3355, top5_acc: 0.5978, loss_cls: 4.1376, loss: 4.1376 +2024-01-01 21:25:09,912 - pyskl - INFO - Epoch [88][3500/3746] lr: 3.662e-02, eta: 1 day, 16:50:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3295, top5_acc: 0.5872, loss_cls: 4.1900, loss: 4.1900 +2024-01-01 21:26:10,196 - pyskl - INFO - Epoch [88][3600/3746] lr: 3.659e-02, eta: 1 day, 16:49:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.5973, loss_cls: 4.1275, loss: 4.1275 +2024-01-01 21:27:10,304 - pyskl - INFO - Epoch [88][3700/3746] lr: 3.657e-02, eta: 1 day, 16:47:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.5986, loss_cls: 4.1162, loss: 4.1162 +2024-01-01 21:27:40,493 - pyskl - INFO - Saving checkpoint at 88 epochs +2024-01-01 21:29:35,935 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 21:29:36,743 - pyskl - INFO - +top1_acc 0.2878 +top5_acc 0.5364 +2024-01-01 21:29:36,744 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 21:29:36,777 - pyskl - INFO - +mean_acc 0.2876 +2024-01-01 21:29:36,783 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_85.pth was removed +2024-01-01 21:29:37,042 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_88.pth. +2024-01-01 21:29:37,043 - pyskl - INFO - Best top1_acc is 0.2878 at 88 epoch. +2024-01-01 21:29:37,051 - pyskl - INFO - Epoch(val) [88][309] top1_acc: 0.2878, top5_acc: 0.5364, mean_class_accuracy: 0.2876 +2024-01-01 21:32:56,479 - pyskl - INFO - Epoch [89][100/3746] lr: 3.653e-02, eta: 1 day, 16:56:21, time: 1.994, data_time: 1.397, memory: 16177, top1_acc: 0.3617, top5_acc: 0.6288, loss_cls: 3.9796, loss: 3.9796 +2024-01-01 21:33:57,141 - pyskl - INFO - Epoch [89][200/3746] lr: 3.650e-02, eta: 1 day, 16:55:01, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.6125, loss_cls: 4.0845, loss: 4.0845 +2024-01-01 21:34:58,236 - pyskl - INFO - Epoch [89][300/3746] lr: 3.647e-02, eta: 1 day, 16:53:45, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3564, top5_acc: 0.6091, loss_cls: 4.0467, loss: 4.0467 +2024-01-01 21:35:57,786 - pyskl - INFO - Epoch [89][400/3746] lr: 3.645e-02, eta: 1 day, 16:52:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3577, top5_acc: 0.6164, loss_cls: 4.0328, loss: 4.0328 +2024-01-01 21:36:57,290 - pyskl - INFO - Epoch [89][500/3746] lr: 3.642e-02, eta: 1 day, 16:50:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3584, top5_acc: 0.6127, loss_cls: 4.0594, loss: 4.0594 +2024-01-01 21:37:57,113 - pyskl - INFO - Epoch [89][600/3746] lr: 3.639e-02, eta: 1 day, 16:49:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3530, top5_acc: 0.6120, loss_cls: 4.0607, loss: 4.0607 +2024-01-01 21:38:56,775 - pyskl - INFO - Epoch [89][700/3746] lr: 3.637e-02, eta: 1 day, 16:48:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3475, top5_acc: 0.6030, loss_cls: 4.0936, loss: 4.0936 +2024-01-01 21:39:55,934 - pyskl - INFO - Epoch [89][800/3746] lr: 3.634e-02, eta: 1 day, 16:46:39, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3434, top5_acc: 0.6014, loss_cls: 4.1019, loss: 4.1019 +2024-01-01 21:40:55,303 - pyskl - INFO - Epoch [89][900/3746] lr: 3.631e-02, eta: 1 day, 16:45:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3408, top5_acc: 0.6028, loss_cls: 4.0919, loss: 4.0919 +2024-01-01 21:41:54,862 - pyskl - INFO - Epoch [89][1000/3746] lr: 3.629e-02, eta: 1 day, 16:43:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3422, top5_acc: 0.5964, loss_cls: 4.1576, loss: 4.1576 +2024-01-01 21:42:54,498 - pyskl - INFO - Epoch [89][1100/3746] lr: 3.626e-02, eta: 1 day, 16:42:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3391, top5_acc: 0.5998, loss_cls: 4.1197, loss: 4.1197 +2024-01-01 21:43:54,495 - pyskl - INFO - Epoch [89][1200/3746] lr: 3.623e-02, eta: 1 day, 16:41:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3463, top5_acc: 0.6053, loss_cls: 4.0951, loss: 4.0951 +2024-01-01 21:44:55,054 - pyskl - INFO - Epoch [89][1300/3746] lr: 3.620e-02, eta: 1 day, 16:39:44, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3302, top5_acc: 0.5972, loss_cls: 4.1288, loss: 4.1288 +2024-01-01 21:45:55,209 - pyskl - INFO - Epoch [89][1400/3746] lr: 3.618e-02, eta: 1 day, 16:38:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3452, top5_acc: 0.6062, loss_cls: 4.0880, loss: 4.0880 +2024-01-01 21:46:54,817 - pyskl - INFO - Epoch [89][1500/3746] lr: 3.615e-02, eta: 1 day, 16:36:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5966, loss_cls: 4.1184, loss: 4.1184 +2024-01-01 21:47:54,692 - pyskl - INFO - Epoch [89][1600/3746] lr: 3.612e-02, eta: 1 day, 16:35:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3523, top5_acc: 0.6139, loss_cls: 4.0770, loss: 4.0770 +2024-01-01 21:48:54,919 - pyskl - INFO - Epoch [89][1700/3746] lr: 3.610e-02, eta: 1 day, 16:34:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3486, top5_acc: 0.5973, loss_cls: 4.1149, loss: 4.1149 +2024-01-01 21:49:54,800 - pyskl - INFO - Epoch [89][1800/3746] lr: 3.607e-02, eta: 1 day, 16:32:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3419, top5_acc: 0.6009, loss_cls: 4.0952, loss: 4.0952 +2024-01-01 21:50:54,816 - pyskl - INFO - Epoch [89][1900/3746] lr: 3.604e-02, eta: 1 day, 16:31:34, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.6009, loss_cls: 4.0959, loss: 4.0959 +2024-01-01 21:51:54,834 - pyskl - INFO - Epoch [89][2000/3746] lr: 3.602e-02, eta: 1 day, 16:30:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3453, top5_acc: 0.6033, loss_cls: 4.1051, loss: 4.1051 +2024-01-01 21:52:55,771 - pyskl - INFO - Epoch [89][2100/3746] lr: 3.599e-02, eta: 1 day, 16:28:57, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3520, top5_acc: 0.6128, loss_cls: 4.0405, loss: 4.0405 +2024-01-01 21:53:55,279 - pyskl - INFO - Epoch [89][2200/3746] lr: 3.596e-02, eta: 1 day, 16:27:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3345, top5_acc: 0.5886, loss_cls: 4.1637, loss: 4.1637 +2024-01-01 21:54:54,905 - pyskl - INFO - Epoch [89][2300/3746] lr: 3.594e-02, eta: 1 day, 16:26:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3486, top5_acc: 0.6028, loss_cls: 4.0971, loss: 4.0971 +2024-01-01 21:55:54,258 - pyskl - INFO - Epoch [89][2400/3746] lr: 3.591e-02, eta: 1 day, 16:24:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3322, top5_acc: 0.5989, loss_cls: 4.1335, loss: 4.1335 +2024-01-01 21:56:53,857 - pyskl - INFO - Epoch [89][2500/3746] lr: 3.588e-02, eta: 1 day, 16:23:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.6108, loss_cls: 4.0775, loss: 4.0775 +2024-01-01 21:57:53,306 - pyskl - INFO - Epoch [89][2600/3746] lr: 3.586e-02, eta: 1 day, 16:22:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3441, top5_acc: 0.6048, loss_cls: 4.0949, loss: 4.0949 +2024-01-01 21:58:52,516 - pyskl - INFO - Epoch [89][2700/3746] lr: 3.583e-02, eta: 1 day, 16:20:36, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3472, top5_acc: 0.6038, loss_cls: 4.1046, loss: 4.1046 +2024-01-01 21:59:52,073 - pyskl - INFO - Epoch [89][2800/3746] lr: 3.580e-02, eta: 1 day, 16:19:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3453, top5_acc: 0.6128, loss_cls: 4.0823, loss: 4.0823 +2024-01-01 22:00:51,720 - pyskl - INFO - Epoch [89][2900/3746] lr: 3.578e-02, eta: 1 day, 16:17:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.5998, loss_cls: 4.1316, loss: 4.1316 +2024-01-01 22:01:50,982 - pyskl - INFO - Epoch [89][3000/3746] lr: 3.575e-02, eta: 1 day, 16:16:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3352, top5_acc: 0.5917, loss_cls: 4.1593, loss: 4.1593 +2024-01-01 22:02:50,462 - pyskl - INFO - Epoch [89][3100/3746] lr: 3.572e-02, eta: 1 day, 16:15:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3361, top5_acc: 0.6048, loss_cls: 4.1187, loss: 4.1187 +2024-01-01 22:03:49,900 - pyskl - INFO - Epoch [89][3200/3746] lr: 3.569e-02, eta: 1 day, 16:13:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3508, top5_acc: 0.6109, loss_cls: 4.0582, loss: 4.0582 +2024-01-01 22:04:49,302 - pyskl - INFO - Epoch [89][3300/3746] lr: 3.567e-02, eta: 1 day, 16:12:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3528, top5_acc: 0.6073, loss_cls: 4.0842, loss: 4.0842 +2024-01-01 22:05:48,539 - pyskl - INFO - Epoch [89][3400/3746] lr: 3.564e-02, eta: 1 day, 16:10:55, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3247, top5_acc: 0.5920, loss_cls: 4.1373, loss: 4.1373 +2024-01-01 22:06:48,499 - pyskl - INFO - Epoch [89][3500/3746] lr: 3.561e-02, eta: 1 day, 16:09:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3508, top5_acc: 0.6017, loss_cls: 4.1113, loss: 4.1113 +2024-01-01 22:07:49,343 - pyskl - INFO - Epoch [89][3600/3746] lr: 3.559e-02, eta: 1 day, 16:08:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3447, top5_acc: 0.5970, loss_cls: 4.1163, loss: 4.1163 +2024-01-01 22:08:49,169 - pyskl - INFO - Epoch [89][3700/3746] lr: 3.556e-02, eta: 1 day, 16:06:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3405, top5_acc: 0.6011, loss_cls: 4.1122, loss: 4.1122 +2024-01-01 22:09:19,601 - pyskl - INFO - Saving checkpoint at 89 epochs +2024-01-01 22:11:18,381 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 22:11:19,474 - pyskl - INFO - +top1_acc 0.2914 +top5_acc 0.5436 +2024-01-01 22:11:19,474 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 22:11:19,514 - pyskl - INFO - +mean_acc 0.2911 +2024-01-01 22:11:19,520 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_88.pth was removed +2024-01-01 22:11:19,817 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_89.pth. +2024-01-01 22:11:19,818 - pyskl - INFO - Best top1_acc is 0.2914 at 89 epoch. +2024-01-01 22:11:19,829 - pyskl - INFO - Epoch(val) [89][309] top1_acc: 0.2914, top5_acc: 0.5436, mean_class_accuracy: 0.2911 +2024-01-01 22:14:43,897 - pyskl - INFO - Epoch [90][100/3746] lr: 3.552e-02, eta: 1 day, 16:14:54, time: 2.041, data_time: 1.441, memory: 16177, top1_acc: 0.3608, top5_acc: 0.6283, loss_cls: 4.0069, loss: 4.0069 +2024-01-01 22:15:44,201 - pyskl - INFO - Epoch [90][200/3746] lr: 3.550e-02, eta: 1 day, 16:13:35, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3602, top5_acc: 0.6233, loss_cls: 4.0285, loss: 4.0285 +2024-01-01 22:16:44,551 - pyskl - INFO - Epoch [90][300/3746] lr: 3.547e-02, eta: 1 day, 16:12:16, time: 0.603, data_time: 0.001, memory: 16177, top1_acc: 0.3523, top5_acc: 0.6098, loss_cls: 4.0705, loss: 4.0705 +2024-01-01 22:17:44,407 - pyskl - INFO - Epoch [90][400/3746] lr: 3.544e-02, eta: 1 day, 16:10:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3558, top5_acc: 0.6175, loss_cls: 4.0635, loss: 4.0635 +2024-01-01 22:18:44,121 - pyskl - INFO - Epoch [90][500/3746] lr: 3.541e-02, eta: 1 day, 16:09:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3428, top5_acc: 0.6077, loss_cls: 4.0670, loss: 4.0670 +2024-01-01 22:19:43,832 - pyskl - INFO - Epoch [90][600/3746] lr: 3.539e-02, eta: 1 day, 16:08:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6058, loss_cls: 4.1039, loss: 4.1039 +2024-01-01 22:20:43,303 - pyskl - INFO - Epoch [90][700/3746] lr: 3.536e-02, eta: 1 day, 16:06:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3486, top5_acc: 0.6105, loss_cls: 4.0567, loss: 4.0567 +2024-01-01 22:21:42,523 - pyskl - INFO - Epoch [90][800/3746] lr: 3.533e-02, eta: 1 day, 16:05:23, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3438, top5_acc: 0.6033, loss_cls: 4.1177, loss: 4.1177 +2024-01-01 22:22:41,932 - pyskl - INFO - Epoch [90][900/3746] lr: 3.531e-02, eta: 1 day, 16:04:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3502, top5_acc: 0.6053, loss_cls: 4.0720, loss: 4.0720 +2024-01-01 22:23:41,770 - pyskl - INFO - Epoch [90][1000/3746] lr: 3.528e-02, eta: 1 day, 16:02:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3488, top5_acc: 0.6172, loss_cls: 4.0528, loss: 4.0528 +2024-01-01 22:24:41,405 - pyskl - INFO - Epoch [90][1100/3746] lr: 3.525e-02, eta: 1 day, 16:01:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3533, top5_acc: 0.6038, loss_cls: 4.0882, loss: 4.0882 +2024-01-01 22:25:40,890 - pyskl - INFO - Epoch [90][1200/3746] lr: 3.523e-02, eta: 1 day, 15:59:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3444, top5_acc: 0.6062, loss_cls: 4.0988, loss: 4.0988 +2024-01-01 22:26:40,487 - pyskl - INFO - Epoch [90][1300/3746] lr: 3.520e-02, eta: 1 day, 15:58:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3370, top5_acc: 0.6086, loss_cls: 4.0915, loss: 4.0915 +2024-01-01 22:27:40,068 - pyskl - INFO - Epoch [90][1400/3746] lr: 3.517e-02, eta: 1 day, 15:57:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6039, loss_cls: 4.0875, loss: 4.0875 +2024-01-01 22:28:39,359 - pyskl - INFO - Epoch [90][1500/3746] lr: 3.515e-02, eta: 1 day, 15:55:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3469, top5_acc: 0.6033, loss_cls: 4.0855, loss: 4.0855 +2024-01-01 22:29:38,910 - pyskl - INFO - Epoch [90][1600/3746] lr: 3.512e-02, eta: 1 day, 15:54:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3486, top5_acc: 0.6139, loss_cls: 4.0813, loss: 4.0813 +2024-01-01 22:30:38,117 - pyskl - INFO - Epoch [90][1700/3746] lr: 3.509e-02, eta: 1 day, 15:53:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.6083, loss_cls: 4.0786, loss: 4.0786 +2024-01-01 22:31:37,531 - pyskl - INFO - Epoch [90][1800/3746] lr: 3.507e-02, eta: 1 day, 15:51:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3525, top5_acc: 0.6131, loss_cls: 4.0440, loss: 4.0440 +2024-01-01 22:32:37,115 - pyskl - INFO - Epoch [90][1900/3746] lr: 3.504e-02, eta: 1 day, 15:50:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3403, top5_acc: 0.5991, loss_cls: 4.1013, loss: 4.1013 +2024-01-01 22:33:36,602 - pyskl - INFO - Epoch [90][2000/3746] lr: 3.501e-02, eta: 1 day, 15:48:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3448, top5_acc: 0.6047, loss_cls: 4.0727, loss: 4.0727 +2024-01-01 22:34:36,342 - pyskl - INFO - Epoch [90][2100/3746] lr: 3.499e-02, eta: 1 day, 15:47:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3477, top5_acc: 0.6039, loss_cls: 4.1005, loss: 4.1005 +2024-01-01 22:35:35,770 - pyskl - INFO - Epoch [90][2200/3746] lr: 3.496e-02, eta: 1 day, 15:46:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3386, top5_acc: 0.5969, loss_cls: 4.1191, loss: 4.1191 +2024-01-01 22:36:35,211 - pyskl - INFO - Epoch [90][2300/3746] lr: 3.493e-02, eta: 1 day, 15:44:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3555, top5_acc: 0.6088, loss_cls: 4.0598, loss: 4.0598 +2024-01-01 22:37:34,878 - pyskl - INFO - Epoch [90][2400/3746] lr: 3.491e-02, eta: 1 day, 15:43:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3556, top5_acc: 0.6094, loss_cls: 4.0688, loss: 4.0688 +2024-01-01 22:38:33,887 - pyskl - INFO - Epoch [90][2500/3746] lr: 3.488e-02, eta: 1 day, 15:42:11, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3491, top5_acc: 0.6052, loss_cls: 4.0948, loss: 4.0948 +2024-01-01 22:39:33,312 - pyskl - INFO - Epoch [90][2600/3746] lr: 3.485e-02, eta: 1 day, 15:40:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6100, loss_cls: 4.0755, loss: 4.0755 +2024-01-01 22:40:32,654 - pyskl - INFO - Epoch [90][2700/3746] lr: 3.483e-02, eta: 1 day, 15:39:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3441, top5_acc: 0.6050, loss_cls: 4.1197, loss: 4.1197 +2024-01-01 22:41:31,929 - pyskl - INFO - Epoch [90][2800/3746] lr: 3.480e-02, eta: 1 day, 15:38:06, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3498, top5_acc: 0.6164, loss_cls: 4.0794, loss: 4.0794 +2024-01-01 22:42:31,208 - pyskl - INFO - Epoch [90][2900/3746] lr: 3.477e-02, eta: 1 day, 15:36:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3530, top5_acc: 0.6061, loss_cls: 4.0896, loss: 4.0896 +2024-01-01 22:43:30,720 - pyskl - INFO - Epoch [90][3000/3746] lr: 3.475e-02, eta: 1 day, 15:35:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3470, top5_acc: 0.5989, loss_cls: 4.1362, loss: 4.1362 +2024-01-01 22:44:30,215 - pyskl - INFO - Epoch [90][3100/3746] lr: 3.472e-02, eta: 1 day, 15:34:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3414, top5_acc: 0.6058, loss_cls: 4.1140, loss: 4.1140 +2024-01-01 22:45:30,430 - pyskl - INFO - Epoch [90][3200/3746] lr: 3.469e-02, eta: 1 day, 15:32:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3420, top5_acc: 0.6027, loss_cls: 4.1071, loss: 4.1071 +2024-01-01 22:46:29,850 - pyskl - INFO - Epoch [90][3300/3746] lr: 3.467e-02, eta: 1 day, 15:31:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3486, top5_acc: 0.6161, loss_cls: 4.0605, loss: 4.0605 +2024-01-01 22:47:29,638 - pyskl - INFO - Epoch [90][3400/3746] lr: 3.464e-02, eta: 1 day, 15:30:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6056, loss_cls: 4.0847, loss: 4.0847 +2024-01-01 22:48:30,082 - pyskl - INFO - Epoch [90][3500/3746] lr: 3.461e-02, eta: 1 day, 15:28:50, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3464, top5_acc: 0.6047, loss_cls: 4.0960, loss: 4.0960 +2024-01-01 22:49:30,109 - pyskl - INFO - Epoch [90][3600/3746] lr: 3.459e-02, eta: 1 day, 15:27:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3403, top5_acc: 0.6022, loss_cls: 4.1000, loss: 4.1000 +2024-01-01 22:50:29,850 - pyskl - INFO - Epoch [90][3700/3746] lr: 3.456e-02, eta: 1 day, 15:26:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3455, top5_acc: 0.6077, loss_cls: 4.0755, loss: 4.0755 +2024-01-01 22:50:59,924 - pyskl - INFO - Saving checkpoint at 90 epochs +2024-01-01 22:52:57,330 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 22:52:58,447 - pyskl - INFO - +top1_acc 0.2868 +top5_acc 0.5306 +2024-01-01 22:52:58,448 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 22:52:58,486 - pyskl - INFO - +mean_acc 0.2867 +2024-01-01 22:52:58,496 - pyskl - INFO - Epoch(val) [90][309] top1_acc: 0.2868, top5_acc: 0.5306, mean_class_accuracy: 0.2867 +2024-01-01 22:56:22,398 - pyskl - INFO - Epoch [91][100/3746] lr: 3.452e-02, eta: 1 day, 15:33:15, time: 2.039, data_time: 1.445, memory: 16177, top1_acc: 0.3638, top5_acc: 0.6145, loss_cls: 4.0278, loss: 4.0278 +2024-01-01 22:57:22,037 - pyskl - INFO - Epoch [91][200/3746] lr: 3.450e-02, eta: 1 day, 15:31:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3550, top5_acc: 0.6072, loss_cls: 4.0725, loss: 4.0725 +2024-01-01 22:58:22,393 - pyskl - INFO - Epoch [91][300/3746] lr: 3.447e-02, eta: 1 day, 15:30:38, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.6083, loss_cls: 4.0759, loss: 4.0759 +2024-01-01 22:59:22,574 - pyskl - INFO - Epoch [91][400/3746] lr: 3.444e-02, eta: 1 day, 15:29:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3503, top5_acc: 0.6095, loss_cls: 4.0792, loss: 4.0792 +2024-01-01 23:00:21,935 - pyskl - INFO - Epoch [91][500/3746] lr: 3.442e-02, eta: 1 day, 15:27:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3541, top5_acc: 0.6156, loss_cls: 4.0323, loss: 4.0323 +2024-01-01 23:01:21,497 - pyskl - INFO - Epoch [91][600/3746] lr: 3.439e-02, eta: 1 day, 15:26:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3473, top5_acc: 0.6094, loss_cls: 4.0842, loss: 4.0842 +2024-01-01 23:02:21,038 - pyskl - INFO - Epoch [91][700/3746] lr: 3.436e-02, eta: 1 day, 15:25:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3469, top5_acc: 0.6162, loss_cls: 4.0671, loss: 4.0671 +2024-01-01 23:03:20,023 - pyskl - INFO - Epoch [91][800/3746] lr: 3.434e-02, eta: 1 day, 15:23:54, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3641, top5_acc: 0.6172, loss_cls: 4.0090, loss: 4.0090 +2024-01-01 23:04:18,945 - pyskl - INFO - Epoch [91][900/3746] lr: 3.431e-02, eta: 1 day, 15:22:31, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6136, loss_cls: 4.0373, loss: 4.0373 +2024-01-01 23:05:18,241 - pyskl - INFO - Epoch [91][1000/3746] lr: 3.428e-02, eta: 1 day, 15:21:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6097, loss_cls: 4.0731, loss: 4.0731 +2024-01-01 23:06:17,498 - pyskl - INFO - Epoch [91][1100/3746] lr: 3.426e-02, eta: 1 day, 15:19:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.6077, loss_cls: 4.0942, loss: 4.0942 +2024-01-01 23:07:17,059 - pyskl - INFO - Epoch [91][1200/3746] lr: 3.423e-02, eta: 1 day, 15:18:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6059, loss_cls: 4.0453, loss: 4.0453 +2024-01-01 23:08:16,893 - pyskl - INFO - Epoch [91][1300/3746] lr: 3.420e-02, eta: 1 day, 15:17:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3433, top5_acc: 0.6002, loss_cls: 4.1168, loss: 4.1168 +2024-01-01 23:09:16,742 - pyskl - INFO - Epoch [91][1400/3746] lr: 3.418e-02, eta: 1 day, 15:15:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6238, loss_cls: 4.0243, loss: 4.0243 +2024-01-01 23:10:17,086 - pyskl - INFO - Epoch [91][1500/3746] lr: 3.415e-02, eta: 1 day, 15:14:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3569, top5_acc: 0.6141, loss_cls: 4.0444, loss: 4.0444 +2024-01-01 23:11:17,507 - pyskl - INFO - Epoch [91][1600/3746] lr: 3.412e-02, eta: 1 day, 15:13:18, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6128, loss_cls: 4.0474, loss: 4.0474 +2024-01-01 23:12:17,922 - pyskl - INFO - Epoch [91][1700/3746] lr: 3.410e-02, eta: 1 day, 15:12:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3583, top5_acc: 0.6061, loss_cls: 4.0624, loss: 4.0624 +2024-01-01 23:13:17,528 - pyskl - INFO - Epoch [91][1800/3746] lr: 3.407e-02, eta: 1 day, 15:10:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3497, top5_acc: 0.6094, loss_cls: 4.0607, loss: 4.0607 +2024-01-01 23:14:17,184 - pyskl - INFO - Epoch [91][1900/3746] lr: 3.405e-02, eta: 1 day, 15:09:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3416, top5_acc: 0.5906, loss_cls: 4.1346, loss: 4.1346 +2024-01-01 23:15:16,971 - pyskl - INFO - Epoch [91][2000/3746] lr: 3.402e-02, eta: 1 day, 15:08:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3500, top5_acc: 0.5984, loss_cls: 4.0887, loss: 4.0887 +2024-01-01 23:16:17,094 - pyskl - INFO - Epoch [91][2100/3746] lr: 3.399e-02, eta: 1 day, 15:06:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3567, top5_acc: 0.6142, loss_cls: 4.0406, loss: 4.0406 +2024-01-01 23:17:16,470 - pyskl - INFO - Epoch [91][2200/3746] lr: 3.397e-02, eta: 1 day, 15:05:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3491, top5_acc: 0.6052, loss_cls: 4.0843, loss: 4.0843 +2024-01-01 23:18:15,836 - pyskl - INFO - Epoch [91][2300/3746] lr: 3.394e-02, eta: 1 day, 15:04:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3564, top5_acc: 0.6209, loss_cls: 4.0592, loss: 4.0592 +2024-01-01 23:19:15,332 - pyskl - INFO - Epoch [91][2400/3746] lr: 3.391e-02, eta: 1 day, 15:02:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3403, top5_acc: 0.6008, loss_cls: 4.1209, loss: 4.1209 +2024-01-01 23:20:15,432 - pyskl - INFO - Epoch [91][2500/3746] lr: 3.389e-02, eta: 1 day, 15:01:31, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3431, top5_acc: 0.6056, loss_cls: 4.0823, loss: 4.0823 +2024-01-01 23:21:15,520 - pyskl - INFO - Epoch [91][2600/3746] lr: 3.386e-02, eta: 1 day, 15:00:15, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3484, top5_acc: 0.6089, loss_cls: 4.0786, loss: 4.0786 +2024-01-01 23:22:15,061 - pyskl - INFO - Epoch [91][2700/3746] lr: 3.383e-02, eta: 1 day, 14:58:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3452, top5_acc: 0.5997, loss_cls: 4.1178, loss: 4.1178 +2024-01-01 23:23:14,611 - pyskl - INFO - Epoch [91][2800/3746] lr: 3.381e-02, eta: 1 day, 14:57:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3475, top5_acc: 0.6064, loss_cls: 4.0888, loss: 4.0888 +2024-01-01 23:24:14,299 - pyskl - INFO - Epoch [91][2900/3746] lr: 3.378e-02, eta: 1 day, 14:56:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3606, top5_acc: 0.6200, loss_cls: 4.0167, loss: 4.0167 +2024-01-01 23:25:13,675 - pyskl - INFO - Epoch [91][3000/3746] lr: 3.375e-02, eta: 1 day, 14:54:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3517, top5_acc: 0.6189, loss_cls: 4.0553, loss: 4.0553 +2024-01-01 23:26:12,998 - pyskl - INFO - Epoch [91][3100/3746] lr: 3.373e-02, eta: 1 day, 14:53:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6056, loss_cls: 4.0749, loss: 4.0749 +2024-01-01 23:27:12,289 - pyskl - INFO - Epoch [91][3200/3746] lr: 3.370e-02, eta: 1 day, 14:52:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3459, top5_acc: 0.5964, loss_cls: 4.1142, loss: 4.1142 +2024-01-01 23:28:11,990 - pyskl - INFO - Epoch [91][3300/3746] lr: 3.367e-02, eta: 1 day, 14:51:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6072, loss_cls: 4.0993, loss: 4.0993 +2024-01-01 23:29:11,693 - pyskl - INFO - Epoch [91][3400/3746] lr: 3.365e-02, eta: 1 day, 14:49:44, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3477, top5_acc: 0.6053, loss_cls: 4.0905, loss: 4.0905 +2024-01-01 23:30:11,772 - pyskl - INFO - Epoch [91][3500/3746] lr: 3.362e-02, eta: 1 day, 14:48:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3528, top5_acc: 0.6136, loss_cls: 4.0443, loss: 4.0443 +2024-01-01 23:31:12,248 - pyskl - INFO - Epoch [91][3600/3746] lr: 3.360e-02, eta: 1 day, 14:47:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3394, top5_acc: 0.5988, loss_cls: 4.1170, loss: 4.1170 +2024-01-01 23:32:12,788 - pyskl - INFO - Epoch [91][3700/3746] lr: 3.357e-02, eta: 1 day, 14:45:59, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3553, top5_acc: 0.6172, loss_cls: 4.0366, loss: 4.0366 +2024-01-01 23:32:42,606 - pyskl - INFO - Saving checkpoint at 91 epochs +2024-01-01 23:34:40,938 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-01 23:34:41,932 - pyskl - INFO - +top1_acc 0.2889 +top5_acc 0.5386 +2024-01-01 23:34:41,933 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-01 23:34:41,970 - pyskl - INFO - +mean_acc 0.2887 +2024-01-01 23:34:41,980 - pyskl - INFO - Epoch(val) [91][309] top1_acc: 0.2889, top5_acc: 0.5386, mean_class_accuracy: 0.2887 +2024-01-01 23:38:07,574 - pyskl - INFO - Epoch [92][100/3746] lr: 3.353e-02, eta: 1 day, 14:52:24, time: 2.056, data_time: 1.461, memory: 16177, top1_acc: 0.3756, top5_acc: 0.6348, loss_cls: 3.9396, loss: 3.9396 +2024-01-01 23:39:07,216 - pyskl - INFO - Epoch [92][200/3746] lr: 3.350e-02, eta: 1 day, 14:51:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3631, top5_acc: 0.6212, loss_cls: 4.0236, loss: 4.0236 +2024-01-01 23:40:07,659 - pyskl - INFO - Epoch [92][300/3746] lr: 3.348e-02, eta: 1 day, 14:49:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6138, loss_cls: 4.0549, loss: 4.0549 +2024-01-01 23:41:08,285 - pyskl - INFO - Epoch [92][400/3746] lr: 3.345e-02, eta: 1 day, 14:48:35, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3645, top5_acc: 0.6261, loss_cls: 4.0012, loss: 4.0012 +2024-01-01 23:42:07,819 - pyskl - INFO - Epoch [92][500/3746] lr: 3.342e-02, eta: 1 day, 14:47:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3463, top5_acc: 0.6091, loss_cls: 4.0817, loss: 4.0817 +2024-01-01 23:43:07,270 - pyskl - INFO - Epoch [92][600/3746] lr: 3.340e-02, eta: 1 day, 14:45:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3614, top5_acc: 0.6269, loss_cls: 4.0033, loss: 4.0033 +2024-01-01 23:44:06,791 - pyskl - INFO - Epoch [92][700/3746] lr: 3.337e-02, eta: 1 day, 14:44:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3505, top5_acc: 0.6112, loss_cls: 4.0756, loss: 4.0756 +2024-01-01 23:45:05,958 - pyskl - INFO - Epoch [92][800/3746] lr: 3.335e-02, eta: 1 day, 14:43:17, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3475, top5_acc: 0.6105, loss_cls: 4.0801, loss: 4.0801 +2024-01-01 23:46:05,305 - pyskl - INFO - Epoch [92][900/3746] lr: 3.332e-02, eta: 1 day, 14:41:57, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3564, top5_acc: 0.6123, loss_cls: 4.0391, loss: 4.0391 +2024-01-01 23:47:04,905 - pyskl - INFO - Epoch [92][1000/3746] lr: 3.329e-02, eta: 1 day, 14:40:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3588, top5_acc: 0.6175, loss_cls: 4.0492, loss: 4.0492 +2024-01-01 23:48:04,064 - pyskl - INFO - Epoch [92][1100/3746] lr: 3.327e-02, eta: 1 day, 14:39:18, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3530, top5_acc: 0.6156, loss_cls: 4.0240, loss: 4.0240 +2024-01-01 23:49:03,230 - pyskl - INFO - Epoch [92][1200/3746] lr: 3.324e-02, eta: 1 day, 14:37:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6242, loss_cls: 4.0157, loss: 4.0157 +2024-01-01 23:50:02,297 - pyskl - INFO - Epoch [92][1300/3746] lr: 3.321e-02, eta: 1 day, 14:36:38, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6056, loss_cls: 4.0633, loss: 4.0633 +2024-01-01 23:51:01,641 - pyskl - INFO - Epoch [92][1400/3746] lr: 3.319e-02, eta: 1 day, 14:35:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6034, loss_cls: 4.0756, loss: 4.0756 +2024-01-01 23:52:00,655 - pyskl - INFO - Epoch [92][1500/3746] lr: 3.316e-02, eta: 1 day, 14:33:58, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3570, top5_acc: 0.6162, loss_cls: 4.0442, loss: 4.0442 +2024-01-01 23:53:00,334 - pyskl - INFO - Epoch [92][1600/3746] lr: 3.314e-02, eta: 1 day, 14:32:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3411, top5_acc: 0.6012, loss_cls: 4.1288, loss: 4.1288 +2024-01-01 23:53:59,867 - pyskl - INFO - Epoch [92][1700/3746] lr: 3.311e-02, eta: 1 day, 14:31:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6152, loss_cls: 4.0516, loss: 4.0516 +2024-01-01 23:54:59,306 - pyskl - INFO - Epoch [92][1800/3746] lr: 3.308e-02, eta: 1 day, 14:30:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3513, top5_acc: 0.6111, loss_cls: 4.0438, loss: 4.0438 +2024-01-01 23:55:58,678 - pyskl - INFO - Epoch [92][1900/3746] lr: 3.306e-02, eta: 1 day, 14:28:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3548, top5_acc: 0.6077, loss_cls: 4.0645, loss: 4.0645 +2024-01-01 23:56:58,051 - pyskl - INFO - Epoch [92][2000/3746] lr: 3.303e-02, eta: 1 day, 14:27:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.6050, loss_cls: 4.1013, loss: 4.1013 +2024-01-01 23:57:57,481 - pyskl - INFO - Epoch [92][2100/3746] lr: 3.300e-02, eta: 1 day, 14:26:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3569, top5_acc: 0.6155, loss_cls: 4.0280, loss: 4.0280 +2024-01-01 23:58:57,115 - pyskl - INFO - Epoch [92][2200/3746] lr: 3.298e-02, eta: 1 day, 14:24:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3542, top5_acc: 0.6112, loss_cls: 4.0649, loss: 4.0649 +2024-01-01 23:59:56,500 - pyskl - INFO - Epoch [92][2300/3746] lr: 3.295e-02, eta: 1 day, 14:23:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3511, top5_acc: 0.6069, loss_cls: 4.0776, loss: 4.0776 +2024-01-02 00:00:55,810 - pyskl - INFO - Epoch [92][2400/3746] lr: 3.292e-02, eta: 1 day, 14:22:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6119, loss_cls: 4.0533, loss: 4.0533 +2024-01-02 00:01:55,360 - pyskl - INFO - Epoch [92][2500/3746] lr: 3.290e-02, eta: 1 day, 14:20:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3467, top5_acc: 0.6028, loss_cls: 4.0901, loss: 4.0901 +2024-01-02 00:02:54,867 - pyskl - INFO - Epoch [92][2600/3746] lr: 3.287e-02, eta: 1 day, 14:19:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3483, top5_acc: 0.6039, loss_cls: 4.0739, loss: 4.0739 +2024-01-02 00:03:54,309 - pyskl - INFO - Epoch [92][2700/3746] lr: 3.285e-02, eta: 1 day, 14:18:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3520, top5_acc: 0.6127, loss_cls: 4.0518, loss: 4.0518 +2024-01-02 00:04:54,696 - pyskl - INFO - Epoch [92][2800/3746] lr: 3.282e-02, eta: 1 day, 14:17:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3492, top5_acc: 0.6061, loss_cls: 4.1119, loss: 4.1119 +2024-01-02 00:05:54,980 - pyskl - INFO - Epoch [92][2900/3746] lr: 3.279e-02, eta: 1 day, 14:15:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3461, top5_acc: 0.6052, loss_cls: 4.0872, loss: 4.0872 +2024-01-02 00:06:55,062 - pyskl - INFO - Epoch [92][3000/3746] lr: 3.277e-02, eta: 1 day, 14:14:36, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3402, top5_acc: 0.5931, loss_cls: 4.1475, loss: 4.1475 +2024-01-02 00:07:55,824 - pyskl - INFO - Epoch [92][3100/3746] lr: 3.274e-02, eta: 1 day, 14:13:23, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6127, loss_cls: 4.0636, loss: 4.0636 +2024-01-02 00:08:56,741 - pyskl - INFO - Epoch [92][3200/3746] lr: 3.271e-02, eta: 1 day, 14:12:11, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3588, top5_acc: 0.6139, loss_cls: 4.0330, loss: 4.0330 +2024-01-02 00:09:56,600 - pyskl - INFO - Epoch [92][3300/3746] lr: 3.269e-02, eta: 1 day, 14:10:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3570, top5_acc: 0.6192, loss_cls: 4.0397, loss: 4.0397 +2024-01-02 00:10:56,827 - pyskl - INFO - Epoch [92][3400/3746] lr: 3.266e-02, eta: 1 day, 14:09:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3516, top5_acc: 0.6103, loss_cls: 4.0623, loss: 4.0623 +2024-01-02 00:11:57,243 - pyskl - INFO - Epoch [92][3500/3746] lr: 3.264e-02, eta: 1 day, 14:08:27, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3639, top5_acc: 0.6139, loss_cls: 4.0417, loss: 4.0417 +2024-01-02 00:12:56,868 - pyskl - INFO - Epoch [92][3600/3746] lr: 3.261e-02, eta: 1 day, 14:07:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3517, top5_acc: 0.6177, loss_cls: 4.0857, loss: 4.0857 +2024-01-02 00:13:57,101 - pyskl - INFO - Epoch [92][3700/3746] lr: 3.258e-02, eta: 1 day, 14:05:56, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3539, top5_acc: 0.6072, loss_cls: 4.0572, loss: 4.0572 +2024-01-02 00:14:27,179 - pyskl - INFO - Saving checkpoint at 92 epochs +2024-01-02 00:16:22,585 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 00:16:23,680 - pyskl - INFO - +top1_acc 0.2968 +top5_acc 0.5492 +2024-01-02 00:16:23,680 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 00:16:23,724 - pyskl - INFO - +mean_acc 0.2964 +2024-01-02 00:16:23,730 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_89.pth was removed +2024-01-02 00:16:24,032 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_92.pth. +2024-01-02 00:16:24,033 - pyskl - INFO - Best top1_acc is 0.2968 at 92 epoch. +2024-01-02 00:16:24,064 - pyskl - INFO - Epoch(val) [92][309] top1_acc: 0.2968, top5_acc: 0.5492, mean_class_accuracy: 0.2964 +2024-01-02 00:19:44,150 - pyskl - INFO - Epoch [93][100/3746] lr: 3.255e-02, eta: 1 day, 14:11:20, time: 2.001, data_time: 1.408, memory: 16177, top1_acc: 0.3628, top5_acc: 0.6270, loss_cls: 3.9773, loss: 3.9773 +2024-01-02 00:20:43,309 - pyskl - INFO - Epoch [93][200/3746] lr: 3.252e-02, eta: 1 day, 14:10:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3605, top5_acc: 0.6183, loss_cls: 4.0049, loss: 4.0049 +2024-01-02 00:21:42,957 - pyskl - INFO - Epoch [93][300/3746] lr: 3.249e-02, eta: 1 day, 14:08:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3520, top5_acc: 0.6205, loss_cls: 4.0297, loss: 4.0297 +2024-01-02 00:22:43,212 - pyskl - INFO - Epoch [93][400/3746] lr: 3.247e-02, eta: 1 day, 14:07:29, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3605, top5_acc: 0.6189, loss_cls: 4.0062, loss: 4.0062 +2024-01-02 00:23:43,051 - pyskl - INFO - Epoch [93][500/3746] lr: 3.244e-02, eta: 1 day, 14:06:12, time: 0.598, data_time: 0.001, memory: 16177, top1_acc: 0.3616, top5_acc: 0.6214, loss_cls: 4.0056, loss: 4.0056 +2024-01-02 00:24:42,745 - pyskl - INFO - Epoch [93][600/3746] lr: 3.241e-02, eta: 1 day, 14:04:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3548, top5_acc: 0.6066, loss_cls: 4.0446, loss: 4.0446 +2024-01-02 00:25:41,997 - pyskl - INFO - Epoch [93][700/3746] lr: 3.239e-02, eta: 1 day, 14:03:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3461, top5_acc: 0.6269, loss_cls: 4.0083, loss: 4.0083 +2024-01-02 00:26:41,029 - pyskl - INFO - Epoch [93][800/3746] lr: 3.236e-02, eta: 1 day, 14:02:17, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3458, top5_acc: 0.6080, loss_cls: 4.0816, loss: 4.0816 +2024-01-02 00:27:40,389 - pyskl - INFO - Epoch [93][900/3746] lr: 3.234e-02, eta: 1 day, 14:00:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3617, top5_acc: 0.6131, loss_cls: 4.0325, loss: 4.0325 +2024-01-02 00:28:39,505 - pyskl - INFO - Epoch [93][1000/3746] lr: 3.231e-02, eta: 1 day, 13:59:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3517, top5_acc: 0.6158, loss_cls: 4.0354, loss: 4.0354 +2024-01-02 00:29:38,651 - pyskl - INFO - Epoch [93][1100/3746] lr: 3.228e-02, eta: 1 day, 13:58:22, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3580, top5_acc: 0.6145, loss_cls: 4.0390, loss: 4.0390 +2024-01-02 00:30:37,981 - pyskl - INFO - Epoch [93][1200/3746] lr: 3.226e-02, eta: 1 day, 13:57:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3641, top5_acc: 0.6108, loss_cls: 4.0373, loss: 4.0373 +2024-01-02 00:31:37,496 - pyskl - INFO - Epoch [93][1300/3746] lr: 3.223e-02, eta: 1 day, 13:55:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3477, top5_acc: 0.6025, loss_cls: 4.0815, loss: 4.0815 +2024-01-02 00:32:36,781 - pyskl - INFO - Epoch [93][1400/3746] lr: 3.221e-02, eta: 1 day, 13:54:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6195, loss_cls: 4.0319, loss: 4.0319 +2024-01-02 00:33:36,472 - pyskl - INFO - Epoch [93][1500/3746] lr: 3.218e-02, eta: 1 day, 13:53:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3528, top5_acc: 0.6130, loss_cls: 4.0679, loss: 4.0679 +2024-01-02 00:34:35,805 - pyskl - INFO - Epoch [93][1600/3746] lr: 3.215e-02, eta: 1 day, 13:51:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3608, top5_acc: 0.6108, loss_cls: 4.0482, loss: 4.0482 +2024-01-02 00:35:35,840 - pyskl - INFO - Epoch [93][1700/3746] lr: 3.213e-02, eta: 1 day, 13:50:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3508, top5_acc: 0.6214, loss_cls: 4.0321, loss: 4.0321 +2024-01-02 00:36:36,103 - pyskl - INFO - Epoch [93][1800/3746] lr: 3.210e-02, eta: 1 day, 13:49:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3430, top5_acc: 0.6088, loss_cls: 4.0754, loss: 4.0754 +2024-01-02 00:37:36,532 - pyskl - INFO - Epoch [93][1900/3746] lr: 3.207e-02, eta: 1 day, 13:48:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3536, top5_acc: 0.6064, loss_cls: 4.0627, loss: 4.0627 +2024-01-02 00:38:36,292 - pyskl - INFO - Epoch [93][2000/3746] lr: 3.205e-02, eta: 1 day, 13:46:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3427, top5_acc: 0.6111, loss_cls: 4.0676, loss: 4.0676 +2024-01-02 00:39:36,056 - pyskl - INFO - Epoch [93][2100/3746] lr: 3.202e-02, eta: 1 day, 13:45:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3509, top5_acc: 0.6147, loss_cls: 4.0558, loss: 4.0558 +2024-01-02 00:40:35,712 - pyskl - INFO - Epoch [93][2200/3746] lr: 3.200e-02, eta: 1 day, 13:44:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6191, loss_cls: 4.0126, loss: 4.0126 +2024-01-02 00:41:35,462 - pyskl - INFO - Epoch [93][2300/3746] lr: 3.197e-02, eta: 1 day, 13:43:08, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6216, loss_cls: 4.0233, loss: 4.0233 +2024-01-02 00:42:34,710 - pyskl - INFO - Epoch [93][2400/3746] lr: 3.194e-02, eta: 1 day, 13:41:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3492, top5_acc: 0.6075, loss_cls: 4.0931, loss: 4.0931 +2024-01-02 00:43:34,102 - pyskl - INFO - Epoch [93][2500/3746] lr: 3.192e-02, eta: 1 day, 13:40:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3481, top5_acc: 0.6025, loss_cls: 4.0950, loss: 4.0950 +2024-01-02 00:44:33,403 - pyskl - INFO - Epoch [93][2600/3746] lr: 3.189e-02, eta: 1 day, 13:39:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3491, top5_acc: 0.6091, loss_cls: 4.0711, loss: 4.0711 +2024-01-02 00:45:32,694 - pyskl - INFO - Epoch [93][2700/3746] lr: 3.187e-02, eta: 1 day, 13:37:59, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3559, top5_acc: 0.6170, loss_cls: 4.0398, loss: 4.0398 +2024-01-02 00:46:32,109 - pyskl - INFO - Epoch [93][2800/3746] lr: 3.184e-02, eta: 1 day, 13:36:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3561, top5_acc: 0.6184, loss_cls: 4.0117, loss: 4.0117 +2024-01-02 00:47:31,509 - pyskl - INFO - Epoch [93][2900/3746] lr: 3.181e-02, eta: 1 day, 13:35:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3581, top5_acc: 0.6180, loss_cls: 4.0386, loss: 4.0386 +2024-01-02 00:48:31,114 - pyskl - INFO - Epoch [93][3000/3746] lr: 3.179e-02, eta: 1 day, 13:34:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3456, top5_acc: 0.6066, loss_cls: 4.1011, loss: 4.1011 +2024-01-02 00:49:30,709 - pyskl - INFO - Epoch [93][3100/3746] lr: 3.176e-02, eta: 1 day, 13:32:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3595, top5_acc: 0.6220, loss_cls: 4.0202, loss: 4.0202 +2024-01-02 00:50:30,133 - pyskl - INFO - Epoch [93][3200/3746] lr: 3.174e-02, eta: 1 day, 13:31:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3441, top5_acc: 0.6116, loss_cls: 4.0670, loss: 4.0670 +2024-01-02 00:51:29,716 - pyskl - INFO - Epoch [93][3300/3746] lr: 3.171e-02, eta: 1 day, 13:30:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3561, top5_acc: 0.6186, loss_cls: 4.0196, loss: 4.0196 +2024-01-02 00:52:30,309 - pyskl - INFO - Epoch [93][3400/3746] lr: 3.168e-02, eta: 1 day, 13:29:10, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3597, top5_acc: 0.6111, loss_cls: 4.0366, loss: 4.0366 +2024-01-02 00:53:30,405 - pyskl - INFO - Epoch [93][3500/3746] lr: 3.166e-02, eta: 1 day, 13:27:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3572, top5_acc: 0.6159, loss_cls: 4.0232, loss: 4.0232 +2024-01-02 00:54:29,970 - pyskl - INFO - Epoch [93][3600/3746] lr: 3.163e-02, eta: 1 day, 13:26:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3619, top5_acc: 0.6122, loss_cls: 4.0486, loss: 4.0486 +2024-01-02 00:55:30,672 - pyskl - INFO - Epoch [93][3700/3746] lr: 3.161e-02, eta: 1 day, 13:25:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3483, top5_acc: 0.6102, loss_cls: 4.0611, loss: 4.0611 +2024-01-02 00:56:00,952 - pyskl - INFO - Saving checkpoint at 93 epochs +2024-01-02 00:57:57,422 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 00:57:58,728 - pyskl - INFO - +top1_acc 0.2972 +top5_acc 0.5516 +2024-01-02 00:57:58,728 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 00:57:58,761 - pyskl - INFO - +mean_acc 0.2970 +2024-01-02 00:57:58,766 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_92.pth was removed +2024-01-02 00:57:59,043 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_93.pth. +2024-01-02 00:57:59,044 - pyskl - INFO - Best top1_acc is 0.2972 at 93 epoch. +2024-01-02 00:57:59,053 - pyskl - INFO - Epoch(val) [93][309] top1_acc: 0.2972, top5_acc: 0.5516, mean_class_accuracy: 0.2970 +2024-01-02 01:01:20,689 - pyskl - INFO - Epoch [94][100/3746] lr: 3.157e-02, eta: 1 day, 13:30:26, time: 2.016, data_time: 1.425, memory: 16177, top1_acc: 0.3802, top5_acc: 0.6381, loss_cls: 3.9275, loss: 3.9275 +2024-01-02 01:02:19,995 - pyskl - INFO - Epoch [94][200/3746] lr: 3.154e-02, eta: 1 day, 13:29:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3795, top5_acc: 0.6314, loss_cls: 3.9707, loss: 3.9707 +2024-01-02 01:03:20,229 - pyskl - INFO - Epoch [94][300/3746] lr: 3.152e-02, eta: 1 day, 13:27:55, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3695, top5_acc: 0.6269, loss_cls: 3.9824, loss: 3.9824 +2024-01-02 01:04:21,381 - pyskl - INFO - Epoch [94][400/3746] lr: 3.149e-02, eta: 1 day, 13:26:44, time: 0.612, data_time: 0.000, memory: 16177, top1_acc: 0.3522, top5_acc: 0.6211, loss_cls: 4.0176, loss: 4.0176 +2024-01-02 01:05:21,888 - pyskl - INFO - Epoch [94][500/3746] lr: 3.146e-02, eta: 1 day, 13:25:31, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3567, top5_acc: 0.6203, loss_cls: 4.0298, loss: 4.0298 +2024-01-02 01:06:21,022 - pyskl - INFO - Epoch [94][600/3746] lr: 3.144e-02, eta: 1 day, 13:24:13, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3681, top5_acc: 0.6214, loss_cls: 4.0002, loss: 4.0002 +2024-01-02 01:07:20,621 - pyskl - INFO - Epoch [94][700/3746] lr: 3.141e-02, eta: 1 day, 13:22:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6183, loss_cls: 4.0180, loss: 4.0180 +2024-01-02 01:08:19,722 - pyskl - INFO - Epoch [94][800/3746] lr: 3.139e-02, eta: 1 day, 13:21:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6223, loss_cls: 4.0164, loss: 4.0164 +2024-01-02 01:09:19,208 - pyskl - INFO - Epoch [94][900/3746] lr: 3.136e-02, eta: 1 day, 13:20:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6169, loss_cls: 4.0477, loss: 4.0477 +2024-01-02 01:10:18,625 - pyskl - INFO - Epoch [94][1000/3746] lr: 3.133e-02, eta: 1 day, 13:19:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3616, top5_acc: 0.6244, loss_cls: 4.0015, loss: 4.0015 +2024-01-02 01:11:18,003 - pyskl - INFO - Epoch [94][1100/3746] lr: 3.131e-02, eta: 1 day, 13:17:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3614, top5_acc: 0.6191, loss_cls: 3.9982, loss: 3.9982 +2024-01-02 01:12:17,447 - pyskl - INFO - Epoch [94][1200/3746] lr: 3.128e-02, eta: 1 day, 13:16:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3647, top5_acc: 0.6288, loss_cls: 3.9598, loss: 3.9598 +2024-01-02 01:13:16,949 - pyskl - INFO - Epoch [94][1300/3746] lr: 3.126e-02, eta: 1 day, 13:15:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3572, top5_acc: 0.6175, loss_cls: 4.0311, loss: 4.0311 +2024-01-02 01:14:16,307 - pyskl - INFO - Epoch [94][1400/3746] lr: 3.123e-02, eta: 1 day, 13:14:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3534, top5_acc: 0.6044, loss_cls: 4.0573, loss: 4.0573 +2024-01-02 01:15:16,168 - pyskl - INFO - Epoch [94][1500/3746] lr: 3.120e-02, eta: 1 day, 13:12:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3555, top5_acc: 0.6128, loss_cls: 4.0522, loss: 4.0522 +2024-01-02 01:16:15,800 - pyskl - INFO - Epoch [94][1600/3746] lr: 3.118e-02, eta: 1 day, 13:11:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3680, top5_acc: 0.6238, loss_cls: 4.0053, loss: 4.0053 +2024-01-02 01:17:15,126 - pyskl - INFO - Epoch [94][1700/3746] lr: 3.115e-02, eta: 1 day, 13:10:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6130, loss_cls: 4.0252, loss: 4.0252 +2024-01-02 01:18:14,627 - pyskl - INFO - Epoch [94][1800/3746] lr: 3.113e-02, eta: 1 day, 13:08:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3381, top5_acc: 0.6050, loss_cls: 4.1062, loss: 4.1062 +2024-01-02 01:19:14,480 - pyskl - INFO - Epoch [94][1900/3746] lr: 3.110e-02, eta: 1 day, 13:07:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3506, top5_acc: 0.6216, loss_cls: 4.0253, loss: 4.0253 +2024-01-02 01:20:13,743 - pyskl - INFO - Epoch [94][2000/3746] lr: 3.108e-02, eta: 1 day, 13:06:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6123, loss_cls: 4.0755, loss: 4.0755 +2024-01-02 01:21:13,040 - pyskl - INFO - Epoch [94][2100/3746] lr: 3.105e-02, eta: 1 day, 13:05:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3439, top5_acc: 0.6030, loss_cls: 4.0894, loss: 4.0894 +2024-01-02 01:22:13,278 - pyskl - INFO - Epoch [94][2200/3746] lr: 3.102e-02, eta: 1 day, 13:03:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6164, loss_cls: 4.0259, loss: 4.0259 +2024-01-02 01:23:12,860 - pyskl - INFO - Epoch [94][2300/3746] lr: 3.100e-02, eta: 1 day, 13:02:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3453, top5_acc: 0.6156, loss_cls: 4.0430, loss: 4.0430 +2024-01-02 01:24:12,417 - pyskl - INFO - Epoch [94][2400/3746] lr: 3.097e-02, eta: 1 day, 13:01:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3466, top5_acc: 0.5992, loss_cls: 4.1025, loss: 4.1025 +2024-01-02 01:25:11,912 - pyskl - INFO - Epoch [94][2500/3746] lr: 3.095e-02, eta: 1 day, 13:00:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3558, top5_acc: 0.6178, loss_cls: 4.0364, loss: 4.0364 +2024-01-02 01:26:11,444 - pyskl - INFO - Epoch [94][2600/3746] lr: 3.092e-02, eta: 1 day, 12:58:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3594, top5_acc: 0.6100, loss_cls: 4.0487, loss: 4.0487 +2024-01-02 01:27:10,745 - pyskl - INFO - Epoch [94][2700/3746] lr: 3.089e-02, eta: 1 day, 12:57:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3531, top5_acc: 0.6038, loss_cls: 4.0552, loss: 4.0552 +2024-01-02 01:28:10,969 - pyskl - INFO - Epoch [94][2800/3746] lr: 3.087e-02, eta: 1 day, 12:56:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6173, loss_cls: 4.0096, loss: 4.0096 +2024-01-02 01:29:10,994 - pyskl - INFO - Epoch [94][2900/3746] lr: 3.084e-02, eta: 1 day, 12:55:15, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3648, top5_acc: 0.6234, loss_cls: 4.0317, loss: 4.0317 +2024-01-02 01:30:11,588 - pyskl - INFO - Epoch [94][3000/3746] lr: 3.082e-02, eta: 1 day, 12:54:04, time: 0.606, data_time: 0.001, memory: 16177, top1_acc: 0.3569, top5_acc: 0.6141, loss_cls: 4.0466, loss: 4.0466 +2024-01-02 01:31:11,916 - pyskl - INFO - Epoch [94][3100/3746] lr: 3.079e-02, eta: 1 day, 12:52:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6219, loss_cls: 4.0024, loss: 4.0024 +2024-01-02 01:32:11,478 - pyskl - INFO - Epoch [94][3200/3746] lr: 3.077e-02, eta: 1 day, 12:51:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3559, top5_acc: 0.6134, loss_cls: 4.0395, loss: 4.0395 +2024-01-02 01:33:11,718 - pyskl - INFO - Epoch [94][3300/3746] lr: 3.074e-02, eta: 1 day, 12:50:24, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3538, top5_acc: 0.6100, loss_cls: 4.0652, loss: 4.0652 +2024-01-02 01:34:12,405 - pyskl - INFO - Epoch [94][3400/3746] lr: 3.071e-02, eta: 1 day, 12:49:13, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3519, top5_acc: 0.6156, loss_cls: 4.0403, loss: 4.0403 +2024-01-02 01:35:12,421 - pyskl - INFO - Epoch [94][3500/3746] lr: 3.069e-02, eta: 1 day, 12:48:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6152, loss_cls: 4.0413, loss: 4.0413 +2024-01-02 01:36:12,153 - pyskl - INFO - Epoch [94][3600/3746] lr: 3.066e-02, eta: 1 day, 12:46:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3598, top5_acc: 0.6219, loss_cls: 4.0246, loss: 4.0246 +2024-01-02 01:37:12,365 - pyskl - INFO - Epoch [94][3700/3746] lr: 3.064e-02, eta: 1 day, 12:45:33, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.3438, top5_acc: 0.6091, loss_cls: 4.0734, loss: 4.0734 +2024-01-02 01:37:42,726 - pyskl - INFO - Saving checkpoint at 94 epochs +2024-01-02 01:39:39,121 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 01:39:40,133 - pyskl - INFO - +top1_acc 0.3096 +top5_acc 0.5558 +2024-01-02 01:39:40,133 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 01:39:40,164 - pyskl - INFO - +mean_acc 0.3094 +2024-01-02 01:39:40,169 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_93.pth was removed +2024-01-02 01:39:40,409 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_94.pth. +2024-01-02 01:39:40,409 - pyskl - INFO - Best top1_acc is 0.3096 at 94 epoch. +2024-01-02 01:39:40,418 - pyskl - INFO - Epoch(val) [94][309] top1_acc: 0.3096, top5_acc: 0.5558, mean_class_accuracy: 0.3094 +2024-01-02 01:43:06,416 - pyskl - INFO - Epoch [95][100/3746] lr: 3.060e-02, eta: 1 day, 12:50:15, time: 2.060, data_time: 1.467, memory: 16177, top1_acc: 0.3623, top5_acc: 0.6269, loss_cls: 3.9673, loss: 3.9673 +2024-01-02 01:44:05,958 - pyskl - INFO - Epoch [95][200/3746] lr: 3.057e-02, eta: 1 day, 12:49:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3720, top5_acc: 0.6327, loss_cls: 3.9629, loss: 3.9629 +2024-01-02 01:45:05,435 - pyskl - INFO - Epoch [95][300/3746] lr: 3.055e-02, eta: 1 day, 12:47:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6184, loss_cls: 4.0153, loss: 4.0153 +2024-01-02 01:46:05,295 - pyskl - INFO - Epoch [95][400/3746] lr: 3.052e-02, eta: 1 day, 12:46:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3584, top5_acc: 0.6169, loss_cls: 4.0258, loss: 4.0258 +2024-01-02 01:47:05,679 - pyskl - INFO - Epoch [95][500/3746] lr: 3.050e-02, eta: 1 day, 12:45:17, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3677, top5_acc: 0.6370, loss_cls: 3.9497, loss: 3.9497 +2024-01-02 01:48:05,319 - pyskl - INFO - Epoch [95][600/3746] lr: 3.047e-02, eta: 1 day, 12:44:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3563, top5_acc: 0.6197, loss_cls: 4.0165, loss: 4.0165 +2024-01-02 01:49:05,270 - pyskl - INFO - Epoch [95][700/3746] lr: 3.044e-02, eta: 1 day, 12:42:49, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3653, top5_acc: 0.6289, loss_cls: 3.9578, loss: 3.9578 +2024-01-02 01:50:05,186 - pyskl - INFO - Epoch [95][800/3746] lr: 3.042e-02, eta: 1 day, 12:41:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3663, top5_acc: 0.6148, loss_cls: 4.0220, loss: 4.0220 +2024-01-02 01:51:04,676 - pyskl - INFO - Epoch [95][900/3746] lr: 3.039e-02, eta: 1 day, 12:40:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3622, top5_acc: 0.6284, loss_cls: 3.9554, loss: 3.9554 +2024-01-02 01:52:03,903 - pyskl - INFO - Epoch [95][1000/3746] lr: 3.037e-02, eta: 1 day, 12:39:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6161, loss_cls: 4.0200, loss: 4.0200 +2024-01-02 01:53:03,319 - pyskl - INFO - Epoch [95][1100/3746] lr: 3.034e-02, eta: 1 day, 12:37:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3561, top5_acc: 0.6100, loss_cls: 4.0308, loss: 4.0308 +2024-01-02 01:54:02,785 - pyskl - INFO - Epoch [95][1200/3746] lr: 3.032e-02, eta: 1 day, 12:36:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3623, top5_acc: 0.6205, loss_cls: 4.0012, loss: 4.0012 +2024-01-02 01:55:02,277 - pyskl - INFO - Epoch [95][1300/3746] lr: 3.029e-02, eta: 1 day, 12:35:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3608, top5_acc: 0.6184, loss_cls: 4.0213, loss: 4.0213 +2024-01-02 01:56:01,608 - pyskl - INFO - Epoch [95][1400/3746] lr: 3.026e-02, eta: 1 day, 12:34:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6175, loss_cls: 4.0237, loss: 4.0237 +2024-01-02 01:57:01,213 - pyskl - INFO - Epoch [95][1500/3746] lr: 3.024e-02, eta: 1 day, 12:32:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3573, top5_acc: 0.6203, loss_cls: 4.0330, loss: 4.0330 +2024-01-02 01:58:01,090 - pyskl - INFO - Epoch [95][1600/3746] lr: 3.021e-02, eta: 1 day, 12:31:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3647, top5_acc: 0.6216, loss_cls: 4.0057, loss: 4.0057 +2024-01-02 01:59:01,465 - pyskl - INFO - Epoch [95][1700/3746] lr: 3.019e-02, eta: 1 day, 12:30:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3538, top5_acc: 0.6164, loss_cls: 4.0382, loss: 4.0382 +2024-01-02 02:00:01,872 - pyskl - INFO - Epoch [95][1800/3746] lr: 3.016e-02, eta: 1 day, 12:29:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3588, top5_acc: 0.6200, loss_cls: 4.0126, loss: 4.0126 +2024-01-02 02:01:01,275 - pyskl - INFO - Epoch [95][1900/3746] lr: 3.014e-02, eta: 1 day, 12:27:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3664, top5_acc: 0.6247, loss_cls: 3.9901, loss: 3.9901 +2024-01-02 02:02:00,484 - pyskl - INFO - Epoch [95][2000/3746] lr: 3.011e-02, eta: 1 day, 12:26:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6241, loss_cls: 4.0059, loss: 4.0059 +2024-01-02 02:02:59,745 - pyskl - INFO - Epoch [95][2100/3746] lr: 3.008e-02, eta: 1 day, 12:25:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3581, top5_acc: 0.6116, loss_cls: 4.0512, loss: 4.0512 +2024-01-02 02:03:59,032 - pyskl - INFO - Epoch [95][2200/3746] lr: 3.006e-02, eta: 1 day, 12:24:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3538, top5_acc: 0.6197, loss_cls: 4.0016, loss: 4.0016 +2024-01-02 02:04:58,525 - pyskl - INFO - Epoch [95][2300/3746] lr: 3.003e-02, eta: 1 day, 12:22:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3586, top5_acc: 0.6202, loss_cls: 4.0337, loss: 4.0337 +2024-01-02 02:05:57,862 - pyskl - INFO - Epoch [95][2400/3746] lr: 3.001e-02, eta: 1 day, 12:21:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3598, top5_acc: 0.6247, loss_cls: 4.0174, loss: 4.0174 +2024-01-02 02:06:57,277 - pyskl - INFO - Epoch [95][2500/3746] lr: 2.998e-02, eta: 1 day, 12:20:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3527, top5_acc: 0.6172, loss_cls: 4.0550, loss: 4.0550 +2024-01-02 02:07:56,794 - pyskl - INFO - Epoch [95][2600/3746] lr: 2.996e-02, eta: 1 day, 12:19:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6183, loss_cls: 4.0160, loss: 4.0160 +2024-01-02 02:08:56,382 - pyskl - INFO - Epoch [95][2700/3746] lr: 2.993e-02, eta: 1 day, 12:17:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6183, loss_cls: 3.9907, loss: 3.9907 +2024-01-02 02:09:55,662 - pyskl - INFO - Epoch [95][2800/3746] lr: 2.991e-02, eta: 1 day, 12:16:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3588, top5_acc: 0.6106, loss_cls: 4.0532, loss: 4.0532 +2024-01-02 02:10:55,231 - pyskl - INFO - Epoch [95][2900/3746] lr: 2.988e-02, eta: 1 day, 12:15:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3514, top5_acc: 0.6098, loss_cls: 4.0753, loss: 4.0753 +2024-01-02 02:11:54,994 - pyskl - INFO - Epoch [95][3000/3746] lr: 2.985e-02, eta: 1 day, 12:14:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3508, top5_acc: 0.6161, loss_cls: 4.0518, loss: 4.0518 +2024-01-02 02:12:54,498 - pyskl - INFO - Epoch [95][3100/3746] lr: 2.983e-02, eta: 1 day, 12:12:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3541, top5_acc: 0.6186, loss_cls: 4.0284, loss: 4.0284 +2024-01-02 02:13:53,922 - pyskl - INFO - Epoch [95][3200/3746] lr: 2.980e-02, eta: 1 day, 12:11:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3683, top5_acc: 0.6212, loss_cls: 4.0047, loss: 4.0047 +2024-01-02 02:14:53,815 - pyskl - INFO - Epoch [95][3300/3746] lr: 2.978e-02, eta: 1 day, 12:10:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3561, top5_acc: 0.6164, loss_cls: 4.0328, loss: 4.0328 +2024-01-02 02:15:53,694 - pyskl - INFO - Epoch [95][3400/3746] lr: 2.975e-02, eta: 1 day, 12:09:19, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6183, loss_cls: 4.0186, loss: 4.0186 +2024-01-02 02:16:53,493 - pyskl - INFO - Epoch [95][3500/3746] lr: 2.973e-02, eta: 1 day, 12:08:06, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3570, top5_acc: 0.6097, loss_cls: 4.0349, loss: 4.0349 +2024-01-02 02:17:53,059 - pyskl - INFO - Epoch [95][3600/3746] lr: 2.970e-02, eta: 1 day, 12:06:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3605, top5_acc: 0.6139, loss_cls: 4.0433, loss: 4.0433 +2024-01-02 02:18:53,992 - pyskl - INFO - Epoch [95][3700/3746] lr: 2.968e-02, eta: 1 day, 12:05:43, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3684, top5_acc: 0.6241, loss_cls: 4.0227, loss: 4.0227 +2024-01-02 02:19:24,456 - pyskl - INFO - Saving checkpoint at 95 epochs +2024-01-02 02:21:20,233 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 02:21:21,313 - pyskl - INFO - +top1_acc 0.3064 +top5_acc 0.5546 +2024-01-02 02:21:21,313 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 02:21:21,357 - pyskl - INFO - +mean_acc 0.3059 +2024-01-02 02:21:21,369 - pyskl - INFO - Epoch(val) [95][309] top1_acc: 0.3064, top5_acc: 0.5546, mean_class_accuracy: 0.3059 +2024-01-02 02:24:44,992 - pyskl - INFO - Epoch [96][100/3746] lr: 2.964e-02, eta: 1 day, 12:09:51, time: 2.036, data_time: 1.442, memory: 16177, top1_acc: 0.3873, top5_acc: 0.6417, loss_cls: 3.9034, loss: 3.9034 +2024-01-02 02:25:44,373 - pyskl - INFO - Epoch [96][200/3746] lr: 2.961e-02, eta: 1 day, 12:08:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3670, top5_acc: 0.6292, loss_cls: 3.9288, loss: 3.9288 +2024-01-02 02:26:43,776 - pyskl - INFO - Epoch [96][300/3746] lr: 2.959e-02, eta: 1 day, 12:07:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6166, loss_cls: 4.0234, loss: 4.0234 +2024-01-02 02:27:43,110 - pyskl - INFO - Epoch [96][400/3746] lr: 2.956e-02, eta: 1 day, 12:06:06, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3678, top5_acc: 0.6114, loss_cls: 4.0021, loss: 4.0021 +2024-01-02 02:28:42,771 - pyskl - INFO - Epoch [96][500/3746] lr: 2.954e-02, eta: 1 day, 12:04:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3731, top5_acc: 0.6367, loss_cls: 3.9361, loss: 3.9361 +2024-01-02 02:29:42,754 - pyskl - INFO - Epoch [96][600/3746] lr: 2.951e-02, eta: 1 day, 12:03:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3703, top5_acc: 0.6219, loss_cls: 3.9913, loss: 3.9913 +2024-01-02 02:30:42,640 - pyskl - INFO - Epoch [96][700/3746] lr: 2.948e-02, eta: 1 day, 12:02:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6325, loss_cls: 3.9391, loss: 3.9391 +2024-01-02 02:31:42,040 - pyskl - INFO - Epoch [96][800/3746] lr: 2.946e-02, eta: 1 day, 12:01:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6212, loss_cls: 4.0008, loss: 4.0008 +2024-01-02 02:32:41,744 - pyskl - INFO - Epoch [96][900/3746] lr: 2.943e-02, eta: 1 day, 11:59:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3541, top5_acc: 0.6267, loss_cls: 4.0116, loss: 4.0116 +2024-01-02 02:33:41,295 - pyskl - INFO - Epoch [96][1000/3746] lr: 2.941e-02, eta: 1 day, 11:58:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3591, top5_acc: 0.6158, loss_cls: 4.0307, loss: 4.0307 +2024-01-02 02:34:40,745 - pyskl - INFO - Epoch [96][1100/3746] lr: 2.938e-02, eta: 1 day, 11:57:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3589, top5_acc: 0.6208, loss_cls: 4.0153, loss: 4.0153 +2024-01-02 02:35:39,947 - pyskl - INFO - Epoch [96][1200/3746] lr: 2.936e-02, eta: 1 day, 11:56:14, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3672, top5_acc: 0.6323, loss_cls: 3.9687, loss: 3.9687 +2024-01-02 02:36:39,206 - pyskl - INFO - Epoch [96][1300/3746] lr: 2.933e-02, eta: 1 day, 11:55:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3567, top5_acc: 0.6131, loss_cls: 4.0375, loss: 4.0375 +2024-01-02 02:37:38,782 - pyskl - INFO - Epoch [96][1400/3746] lr: 2.931e-02, eta: 1 day, 11:53:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3628, top5_acc: 0.6270, loss_cls: 3.9723, loss: 3.9723 +2024-01-02 02:38:38,525 - pyskl - INFO - Epoch [96][1500/3746] lr: 2.928e-02, eta: 1 day, 11:52:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3606, top5_acc: 0.6155, loss_cls: 4.0298, loss: 4.0298 +2024-01-02 02:39:38,055 - pyskl - INFO - Epoch [96][1600/3746] lr: 2.926e-02, eta: 1 day, 11:51:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3548, top5_acc: 0.6158, loss_cls: 4.0314, loss: 4.0314 +2024-01-02 02:40:38,099 - pyskl - INFO - Epoch [96][1700/3746] lr: 2.923e-02, eta: 1 day, 11:50:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3684, top5_acc: 0.6291, loss_cls: 3.9620, loss: 3.9620 +2024-01-02 02:41:37,967 - pyskl - INFO - Epoch [96][1800/3746] lr: 2.920e-02, eta: 1 day, 11:48:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3581, top5_acc: 0.6309, loss_cls: 4.0170, loss: 4.0170 +2024-01-02 02:42:37,594 - pyskl - INFO - Epoch [96][1900/3746] lr: 2.918e-02, eta: 1 day, 11:47:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3625, top5_acc: 0.6233, loss_cls: 4.0190, loss: 4.0190 +2024-01-02 02:43:37,382 - pyskl - INFO - Epoch [96][2000/3746] lr: 2.915e-02, eta: 1 day, 11:46:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3634, top5_acc: 0.6202, loss_cls: 4.0221, loss: 4.0221 +2024-01-02 02:44:37,113 - pyskl - INFO - Epoch [96][2100/3746] lr: 2.913e-02, eta: 1 day, 11:45:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3500, top5_acc: 0.6125, loss_cls: 4.0456, loss: 4.0456 +2024-01-02 02:45:36,612 - pyskl - INFO - Epoch [96][2200/3746] lr: 2.910e-02, eta: 1 day, 11:44:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3734, top5_acc: 0.6266, loss_cls: 3.9549, loss: 3.9549 +2024-01-02 02:46:36,142 - pyskl - INFO - Epoch [96][2300/3746] lr: 2.908e-02, eta: 1 day, 11:42:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3638, top5_acc: 0.6241, loss_cls: 4.0085, loss: 4.0085 +2024-01-02 02:47:35,658 - pyskl - INFO - Epoch [96][2400/3746] lr: 2.905e-02, eta: 1 day, 11:41:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3556, top5_acc: 0.6148, loss_cls: 4.0361, loss: 4.0361 +2024-01-02 02:48:35,310 - pyskl - INFO - Epoch [96][2500/3746] lr: 2.903e-02, eta: 1 day, 11:40:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3638, top5_acc: 0.6231, loss_cls: 3.9902, loss: 3.9902 +2024-01-02 02:49:35,106 - pyskl - INFO - Epoch [96][2600/3746] lr: 2.900e-02, eta: 1 day, 11:39:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3602, top5_acc: 0.6180, loss_cls: 4.0148, loss: 4.0148 +2024-01-02 02:50:35,433 - pyskl - INFO - Epoch [96][2700/3746] lr: 2.898e-02, eta: 1 day, 11:37:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3672, top5_acc: 0.6244, loss_cls: 3.9915, loss: 3.9915 +2024-01-02 02:51:35,099 - pyskl - INFO - Epoch [96][2800/3746] lr: 2.895e-02, eta: 1 day, 11:36:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3544, top5_acc: 0.6141, loss_cls: 4.0361, loss: 4.0361 +2024-01-02 02:52:34,749 - pyskl - INFO - Epoch [96][2900/3746] lr: 2.893e-02, eta: 1 day, 11:35:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3620, top5_acc: 0.6219, loss_cls: 4.0101, loss: 4.0101 +2024-01-02 02:53:34,042 - pyskl - INFO - Epoch [96][3000/3746] lr: 2.890e-02, eta: 1 day, 11:34:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6195, loss_cls: 4.0035, loss: 4.0035 +2024-01-02 02:54:33,872 - pyskl - INFO - Epoch [96][3100/3746] lr: 2.887e-02, eta: 1 day, 11:33:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3558, top5_acc: 0.6178, loss_cls: 4.0378, loss: 4.0378 +2024-01-02 02:55:33,402 - pyskl - INFO - Epoch [96][3200/3746] lr: 2.885e-02, eta: 1 day, 11:31:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3611, top5_acc: 0.6212, loss_cls: 3.9996, loss: 3.9996 +2024-01-02 02:56:33,182 - pyskl - INFO - Epoch [96][3300/3746] lr: 2.882e-02, eta: 1 day, 11:30:38, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3603, top5_acc: 0.6211, loss_cls: 3.9942, loss: 3.9942 +2024-01-02 02:57:33,385 - pyskl - INFO - Epoch [96][3400/3746] lr: 2.880e-02, eta: 1 day, 11:29:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6216, loss_cls: 3.9944, loss: 3.9944 +2024-01-02 02:58:33,064 - pyskl - INFO - Epoch [96][3500/3746] lr: 2.877e-02, eta: 1 day, 11:28:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6200, loss_cls: 4.0285, loss: 4.0285 +2024-01-02 02:59:32,309 - pyskl - INFO - Epoch [96][3600/3746] lr: 2.875e-02, eta: 1 day, 11:27:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3478, top5_acc: 0.6114, loss_cls: 4.0541, loss: 4.0541 +2024-01-02 03:00:32,401 - pyskl - INFO - Epoch [96][3700/3746] lr: 2.872e-02, eta: 1 day, 11:25:49, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3480, top5_acc: 0.6103, loss_cls: 4.0733, loss: 4.0733 +2024-01-02 03:01:02,956 - pyskl - INFO - Saving checkpoint at 96 epochs +2024-01-02 03:02:57,236 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 03:02:58,286 - pyskl - INFO - +top1_acc 0.2927 +top5_acc 0.5465 +2024-01-02 03:02:58,286 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 03:02:58,339 - pyskl - INFO - +mean_acc 0.2924 +2024-01-02 03:02:58,353 - pyskl - INFO - Epoch(val) [96][309] top1_acc: 0.2927, top5_acc: 0.5465, mean_class_accuracy: 0.2924 +2024-01-02 03:06:20,965 - pyskl - INFO - Epoch [97][100/3746] lr: 2.869e-02, eta: 1 day, 11:29:31, time: 2.026, data_time: 1.433, memory: 16177, top1_acc: 0.3722, top5_acc: 0.6298, loss_cls: 3.9315, loss: 3.9315 +2024-01-02 03:07:20,633 - pyskl - INFO - Epoch [97][200/3746] lr: 2.866e-02, eta: 1 day, 11:28:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3747, top5_acc: 0.6353, loss_cls: 3.9276, loss: 3.9276 +2024-01-02 03:08:20,199 - pyskl - INFO - Epoch [97][300/3746] lr: 2.864e-02, eta: 1 day, 11:27:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3783, top5_acc: 0.6362, loss_cls: 3.9215, loss: 3.9215 +2024-01-02 03:09:19,831 - pyskl - INFO - Epoch [97][400/3746] lr: 2.861e-02, eta: 1 day, 11:25:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3664, top5_acc: 0.6302, loss_cls: 3.9685, loss: 3.9685 +2024-01-02 03:10:19,830 - pyskl - INFO - Epoch [97][500/3746] lr: 2.858e-02, eta: 1 day, 11:24:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3589, top5_acc: 0.6305, loss_cls: 3.9665, loss: 3.9665 +2024-01-02 03:11:20,698 - pyskl - INFO - Epoch [97][600/3746] lr: 2.856e-02, eta: 1 day, 11:23:29, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3711, top5_acc: 0.6347, loss_cls: 3.9433, loss: 3.9433 +2024-01-02 03:12:20,445 - pyskl - INFO - Epoch [97][700/3746] lr: 2.853e-02, eta: 1 day, 11:22:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3667, top5_acc: 0.6245, loss_cls: 3.9671, loss: 3.9671 +2024-01-02 03:13:19,998 - pyskl - INFO - Epoch [97][800/3746] lr: 2.851e-02, eta: 1 day, 11:21:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3672, top5_acc: 0.6272, loss_cls: 3.9700, loss: 3.9700 +2024-01-02 03:14:19,356 - pyskl - INFO - Epoch [97][900/3746] lr: 2.848e-02, eta: 1 day, 11:19:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3628, top5_acc: 0.6255, loss_cls: 3.9986, loss: 3.9986 +2024-01-02 03:15:18,722 - pyskl - INFO - Epoch [97][1000/3746] lr: 2.846e-02, eta: 1 day, 11:18:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3692, top5_acc: 0.6272, loss_cls: 3.9808, loss: 3.9808 +2024-01-02 03:16:18,089 - pyskl - INFO - Epoch [97][1100/3746] lr: 2.843e-02, eta: 1 day, 11:17:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3717, top5_acc: 0.6289, loss_cls: 3.9541, loss: 3.9541 +2024-01-02 03:17:17,599 - pyskl - INFO - Epoch [97][1200/3746] lr: 2.841e-02, eta: 1 day, 11:16:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3634, top5_acc: 0.6170, loss_cls: 3.9969, loss: 3.9969 +2024-01-02 03:18:16,928 - pyskl - INFO - Epoch [97][1300/3746] lr: 2.838e-02, eta: 1 day, 11:14:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3681, top5_acc: 0.6178, loss_cls: 3.9969, loss: 3.9969 +2024-01-02 03:19:16,273 - pyskl - INFO - Epoch [97][1400/3746] lr: 2.836e-02, eta: 1 day, 11:13:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3592, top5_acc: 0.6186, loss_cls: 4.0047, loss: 4.0047 +2024-01-02 03:20:15,791 - pyskl - INFO - Epoch [97][1500/3746] lr: 2.833e-02, eta: 1 day, 11:12:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3631, top5_acc: 0.6256, loss_cls: 4.0055, loss: 4.0055 +2024-01-02 03:21:15,516 - pyskl - INFO - Epoch [97][1600/3746] lr: 2.831e-02, eta: 1 day, 11:11:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3600, top5_acc: 0.6242, loss_cls: 3.9922, loss: 3.9922 +2024-01-02 03:22:15,099 - pyskl - INFO - Epoch [97][1700/3746] lr: 2.828e-02, eta: 1 day, 11:10:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3520, top5_acc: 0.6038, loss_cls: 4.0500, loss: 4.0500 +2024-01-02 03:23:14,410 - pyskl - INFO - Epoch [97][1800/3746] lr: 2.826e-02, eta: 1 day, 11:08:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6184, loss_cls: 4.0073, loss: 4.0073 +2024-01-02 03:24:13,768 - pyskl - INFO - Epoch [97][1900/3746] lr: 2.823e-02, eta: 1 day, 11:07:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6377, loss_cls: 3.9570, loss: 3.9570 +2024-01-02 03:25:12,925 - pyskl - INFO - Epoch [97][2000/3746] lr: 2.821e-02, eta: 1 day, 11:06:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3636, top5_acc: 0.6155, loss_cls: 4.0101, loss: 4.0101 +2024-01-02 03:26:12,435 - pyskl - INFO - Epoch [97][2100/3746] lr: 2.818e-02, eta: 1 day, 11:05:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3614, top5_acc: 0.6245, loss_cls: 4.0150, loss: 4.0150 +2024-01-02 03:27:11,917 - pyskl - INFO - Epoch [97][2200/3746] lr: 2.816e-02, eta: 1 day, 11:03:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3734, top5_acc: 0.6302, loss_cls: 3.9620, loss: 3.9620 +2024-01-02 03:28:11,418 - pyskl - INFO - Epoch [97][2300/3746] lr: 2.813e-02, eta: 1 day, 11:02:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3583, top5_acc: 0.6214, loss_cls: 4.0177, loss: 4.0177 +2024-01-02 03:29:10,940 - pyskl - INFO - Epoch [97][2400/3746] lr: 2.811e-02, eta: 1 day, 11:01:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3525, top5_acc: 0.6139, loss_cls: 4.0481, loss: 4.0481 +2024-01-02 03:30:10,318 - pyskl - INFO - Epoch [97][2500/3746] lr: 2.808e-02, eta: 1 day, 11:00:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6239, loss_cls: 3.9964, loss: 3.9964 +2024-01-02 03:31:09,873 - pyskl - INFO - Epoch [97][2600/3746] lr: 2.806e-02, eta: 1 day, 10:59:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3623, top5_acc: 0.6258, loss_cls: 3.9770, loss: 3.9770 +2024-01-02 03:32:09,787 - pyskl - INFO - Epoch [97][2700/3746] lr: 2.803e-02, eta: 1 day, 10:57:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3638, top5_acc: 0.6205, loss_cls: 3.9974, loss: 3.9974 +2024-01-02 03:33:09,773 - pyskl - INFO - Epoch [97][2800/3746] lr: 2.801e-02, eta: 1 day, 10:56:41, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3597, top5_acc: 0.6186, loss_cls: 4.0128, loss: 4.0128 +2024-01-02 03:34:10,194 - pyskl - INFO - Epoch [97][2900/3746] lr: 2.798e-02, eta: 1 day, 10:55:31, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3680, top5_acc: 0.6398, loss_cls: 3.9610, loss: 3.9610 +2024-01-02 03:35:10,592 - pyskl - INFO - Epoch [97][3000/3746] lr: 2.796e-02, eta: 1 day, 10:54:21, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3567, top5_acc: 0.6270, loss_cls: 4.0053, loss: 4.0053 +2024-01-02 03:36:11,100 - pyskl - INFO - Epoch [97][3100/3746] lr: 2.793e-02, eta: 1 day, 10:53:11, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3517, top5_acc: 0.6228, loss_cls: 3.9963, loss: 3.9963 +2024-01-02 03:37:11,062 - pyskl - INFO - Epoch [97][3200/3746] lr: 2.791e-02, eta: 1 day, 10:52:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3744, top5_acc: 0.6261, loss_cls: 3.9886, loss: 3.9886 +2024-01-02 03:38:11,560 - pyskl - INFO - Epoch [97][3300/3746] lr: 2.788e-02, eta: 1 day, 10:50:50, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3742, top5_acc: 0.6208, loss_cls: 3.9597, loss: 3.9597 +2024-01-02 03:39:11,781 - pyskl - INFO - Epoch [97][3400/3746] lr: 2.786e-02, eta: 1 day, 10:49:39, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3575, top5_acc: 0.6173, loss_cls: 4.0274, loss: 4.0274 +2024-01-02 03:40:11,562 - pyskl - INFO - Epoch [97][3500/3746] lr: 2.783e-02, eta: 1 day, 10:48:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3656, top5_acc: 0.6220, loss_cls: 4.0016, loss: 4.0016 +2024-01-02 03:41:11,498 - pyskl - INFO - Epoch [97][3600/3746] lr: 2.781e-02, eta: 1 day, 10:47:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3683, top5_acc: 0.6253, loss_cls: 3.9869, loss: 3.9869 +2024-01-02 03:42:11,875 - pyskl - INFO - Epoch [97][3700/3746] lr: 2.778e-02, eta: 1 day, 10:46:06, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3589, top5_acc: 0.6138, loss_cls: 4.0093, loss: 4.0093 +2024-01-02 03:42:42,478 - pyskl - INFO - Saving checkpoint at 97 epochs +2024-01-02 03:44:39,275 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 03:44:40,331 - pyskl - INFO - +top1_acc 0.3040 +top5_acc 0.5605 +2024-01-02 03:44:40,331 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 03:44:40,368 - pyskl - INFO - +mean_acc 0.3039 +2024-01-02 03:44:40,379 - pyskl - INFO - Epoch(val) [97][309] top1_acc: 0.3040, top5_acc: 0.5605, mean_class_accuracy: 0.3039 +2024-01-02 03:47:56,662 - pyskl - INFO - Epoch [98][100/3746] lr: 2.774e-02, eta: 1 day, 10:49:10, time: 1.963, data_time: 1.369, memory: 16177, top1_acc: 0.3766, top5_acc: 0.6359, loss_cls: 3.9087, loss: 3.9087 +2024-01-02 03:48:56,135 - pyskl - INFO - Epoch [98][200/3746] lr: 2.772e-02, eta: 1 day, 10:47:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3725, top5_acc: 0.6359, loss_cls: 3.9289, loss: 3.9289 +2024-01-02 03:49:55,852 - pyskl - INFO - Epoch [98][300/3746] lr: 2.769e-02, eta: 1 day, 10:46:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3752, top5_acc: 0.6334, loss_cls: 3.9424, loss: 3.9424 +2024-01-02 03:50:55,747 - pyskl - INFO - Epoch [98][400/3746] lr: 2.767e-02, eta: 1 day, 10:45:33, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3691, top5_acc: 0.6388, loss_cls: 3.9294, loss: 3.9294 +2024-01-02 03:51:55,702 - pyskl - INFO - Epoch [98][500/3746] lr: 2.764e-02, eta: 1 day, 10:44:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3691, top5_acc: 0.6345, loss_cls: 3.9485, loss: 3.9485 +2024-01-02 03:52:55,929 - pyskl - INFO - Epoch [98][600/3746] lr: 2.762e-02, eta: 1 day, 10:43:11, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6242, loss_cls: 3.9756, loss: 3.9756 +2024-01-02 03:53:56,372 - pyskl - INFO - Epoch [98][700/3746] lr: 2.759e-02, eta: 1 day, 10:42:00, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3745, top5_acc: 0.6295, loss_cls: 3.9517, loss: 3.9517 +2024-01-02 03:54:55,908 - pyskl - INFO - Epoch [98][800/3746] lr: 2.757e-02, eta: 1 day, 10:40:48, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3714, top5_acc: 0.6309, loss_cls: 3.9660, loss: 3.9660 +2024-01-02 03:55:55,496 - pyskl - INFO - Epoch [98][900/3746] lr: 2.754e-02, eta: 1 day, 10:39:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6162, loss_cls: 4.0068, loss: 4.0068 +2024-01-02 03:56:55,173 - pyskl - INFO - Epoch [98][1000/3746] lr: 2.752e-02, eta: 1 day, 10:38:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3680, top5_acc: 0.6327, loss_cls: 3.9504, loss: 3.9504 +2024-01-02 03:57:54,453 - pyskl - INFO - Epoch [98][1100/3746] lr: 2.749e-02, eta: 1 day, 10:37:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6297, loss_cls: 3.9547, loss: 3.9547 +2024-01-02 03:58:53,803 - pyskl - INFO - Epoch [98][1200/3746] lr: 2.747e-02, eta: 1 day, 10:35:57, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3589, top5_acc: 0.6281, loss_cls: 4.0015, loss: 4.0015 +2024-01-02 03:59:53,118 - pyskl - INFO - Epoch [98][1300/3746] lr: 2.744e-02, eta: 1 day, 10:34:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3775, top5_acc: 0.6320, loss_cls: 3.9279, loss: 3.9279 +2024-01-02 04:00:52,657 - pyskl - INFO - Epoch [98][1400/3746] lr: 2.742e-02, eta: 1 day, 10:33:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3719, top5_acc: 0.6306, loss_cls: 3.9312, loss: 3.9312 +2024-01-02 04:01:52,680 - pyskl - INFO - Epoch [98][1500/3746] lr: 2.739e-02, eta: 1 day, 10:32:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6330, loss_cls: 3.9540, loss: 3.9540 +2024-01-02 04:02:52,002 - pyskl - INFO - Epoch [98][1600/3746] lr: 2.737e-02, eta: 1 day, 10:31:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3775, top5_acc: 0.6309, loss_cls: 3.9486, loss: 3.9486 +2024-01-02 04:03:51,417 - pyskl - INFO - Epoch [98][1700/3746] lr: 2.734e-02, eta: 1 day, 10:29:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6130, loss_cls: 4.0163, loss: 4.0163 +2024-01-02 04:04:51,062 - pyskl - INFO - Epoch [98][1800/3746] lr: 2.732e-02, eta: 1 day, 10:28:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3677, top5_acc: 0.6292, loss_cls: 3.9654, loss: 3.9654 +2024-01-02 04:05:50,220 - pyskl - INFO - Epoch [98][1900/3746] lr: 2.729e-02, eta: 1 day, 10:27:30, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3675, top5_acc: 0.6259, loss_cls: 3.9674, loss: 3.9674 +2024-01-02 04:06:49,296 - pyskl - INFO - Epoch [98][2000/3746] lr: 2.727e-02, eta: 1 day, 10:26:17, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3647, top5_acc: 0.6255, loss_cls: 4.0064, loss: 4.0064 +2024-01-02 04:07:48,756 - pyskl - INFO - Epoch [98][2100/3746] lr: 2.724e-02, eta: 1 day, 10:25:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3666, top5_acc: 0.6234, loss_cls: 3.9983, loss: 3.9983 +2024-01-02 04:08:48,236 - pyskl - INFO - Epoch [98][2200/3746] lr: 2.722e-02, eta: 1 day, 10:23:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3636, top5_acc: 0.6272, loss_cls: 3.9968, loss: 3.9968 +2024-01-02 04:09:47,486 - pyskl - INFO - Epoch [98][2300/3746] lr: 2.719e-02, eta: 1 day, 10:22:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3666, top5_acc: 0.6194, loss_cls: 4.0005, loss: 4.0005 +2024-01-02 04:10:47,972 - pyskl - INFO - Epoch [98][2400/3746] lr: 2.717e-02, eta: 1 day, 10:21:30, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6259, loss_cls: 3.9633, loss: 3.9633 +2024-01-02 04:11:48,691 - pyskl - INFO - Epoch [98][2500/3746] lr: 2.714e-02, eta: 1 day, 10:20:21, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3711, top5_acc: 0.6245, loss_cls: 3.9689, loss: 3.9689 +2024-01-02 04:12:48,759 - pyskl - INFO - Epoch [98][2600/3746] lr: 2.712e-02, eta: 1 day, 10:19:11, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6231, loss_cls: 3.9888, loss: 3.9888 +2024-01-02 04:13:48,124 - pyskl - INFO - Epoch [98][2700/3746] lr: 2.709e-02, eta: 1 day, 10:17:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3672, top5_acc: 0.6247, loss_cls: 3.9681, loss: 3.9681 +2024-01-02 04:14:47,718 - pyskl - INFO - Epoch [98][2800/3746] lr: 2.707e-02, eta: 1 day, 10:16:46, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3680, top5_acc: 0.6220, loss_cls: 3.9744, loss: 3.9744 +2024-01-02 04:15:47,213 - pyskl - INFO - Epoch [98][2900/3746] lr: 2.705e-02, eta: 1 day, 10:15:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3641, top5_acc: 0.6242, loss_cls: 3.9767, loss: 3.9767 +2024-01-02 04:16:46,762 - pyskl - INFO - Epoch [98][3000/3746] lr: 2.702e-02, eta: 1 day, 10:14:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3659, top5_acc: 0.6178, loss_cls: 3.9743, loss: 3.9743 +2024-01-02 04:17:46,804 - pyskl - INFO - Epoch [98][3100/3746] lr: 2.700e-02, eta: 1 day, 10:13:12, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3677, top5_acc: 0.6234, loss_cls: 3.9965, loss: 3.9965 +2024-01-02 04:18:46,203 - pyskl - INFO - Epoch [98][3200/3746] lr: 2.697e-02, eta: 1 day, 10:12:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3713, top5_acc: 0.6245, loss_cls: 3.9877, loss: 3.9877 +2024-01-02 04:19:46,464 - pyskl - INFO - Epoch [98][3300/3746] lr: 2.695e-02, eta: 1 day, 10:10:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3631, top5_acc: 0.6191, loss_cls: 3.9927, loss: 3.9927 +2024-01-02 04:20:46,518 - pyskl - INFO - Epoch [98][3400/3746] lr: 2.692e-02, eta: 1 day, 10:09:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6231, loss_cls: 3.9596, loss: 3.9596 +2024-01-02 04:21:46,051 - pyskl - INFO - Epoch [98][3500/3746] lr: 2.690e-02, eta: 1 day, 10:08:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3672, top5_acc: 0.6280, loss_cls: 4.0067, loss: 4.0067 +2024-01-02 04:22:45,747 - pyskl - INFO - Epoch [98][3600/3746] lr: 2.687e-02, eta: 1 day, 10:07:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3609, top5_acc: 0.6305, loss_cls: 3.9785, loss: 3.9785 +2024-01-02 04:23:46,708 - pyskl - INFO - Epoch [98][3700/3746] lr: 2.685e-02, eta: 1 day, 10:06:08, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.3656, top5_acc: 0.6269, loss_cls: 3.9869, loss: 3.9869 +2024-01-02 04:24:18,049 - pyskl - INFO - Saving checkpoint at 98 epochs +2024-01-02 04:26:16,020 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 04:26:16,929 - pyskl - INFO - +top1_acc 0.2917 +top5_acc 0.5457 +2024-01-02 04:26:16,929 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 04:26:16,969 - pyskl - INFO - +mean_acc 0.2914 +2024-01-02 04:26:16,979 - pyskl - INFO - Epoch(val) [98][309] top1_acc: 0.2917, top5_acc: 0.5457, mean_class_accuracy: 0.2914 +2024-01-02 04:29:39,397 - pyskl - INFO - Epoch [99][100/3746] lr: 2.681e-02, eta: 1 day, 10:09:09, time: 2.024, data_time: 1.431, memory: 16177, top1_acc: 0.3702, top5_acc: 0.6291, loss_cls: 3.9407, loss: 3.9407 +2024-01-02 04:30:39,053 - pyskl - INFO - Epoch [99][200/3746] lr: 2.679e-02, eta: 1 day, 10:07:58, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3773, top5_acc: 0.6416, loss_cls: 3.9056, loss: 3.9056 +2024-01-02 04:31:38,547 - pyskl - INFO - Epoch [99][300/3746] lr: 2.676e-02, eta: 1 day, 10:06:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3800, top5_acc: 0.6434, loss_cls: 3.9015, loss: 3.9015 +2024-01-02 04:32:38,171 - pyskl - INFO - Epoch [99][400/3746] lr: 2.674e-02, eta: 1 day, 10:05:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3803, top5_acc: 0.6461, loss_cls: 3.8930, loss: 3.8930 +2024-01-02 04:33:38,828 - pyskl - INFO - Epoch [99][500/3746] lr: 2.671e-02, eta: 1 day, 10:04:24, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3675, top5_acc: 0.6288, loss_cls: 3.9619, loss: 3.9619 +2024-01-02 04:34:39,540 - pyskl - INFO - Epoch [99][600/3746] lr: 2.669e-02, eta: 1 day, 10:03:15, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3677, top5_acc: 0.6300, loss_cls: 3.9321, loss: 3.9321 +2024-01-02 04:35:39,504 - pyskl - INFO - Epoch [99][700/3746] lr: 2.666e-02, eta: 1 day, 10:02:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3741, top5_acc: 0.6348, loss_cls: 3.9495, loss: 3.9495 +2024-01-02 04:36:38,921 - pyskl - INFO - Epoch [99][800/3746] lr: 2.664e-02, eta: 1 day, 10:00:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3653, top5_acc: 0.6309, loss_cls: 3.9623, loss: 3.9623 +2024-01-02 04:37:38,570 - pyskl - INFO - Epoch [99][900/3746] lr: 2.661e-02, eta: 1 day, 9:59:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3791, top5_acc: 0.6394, loss_cls: 3.9299, loss: 3.9299 +2024-01-02 04:38:38,091 - pyskl - INFO - Epoch [99][1000/3746] lr: 2.659e-02, eta: 1 day, 9:58:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3773, top5_acc: 0.6372, loss_cls: 3.9366, loss: 3.9366 +2024-01-02 04:39:37,654 - pyskl - INFO - Epoch [99][1100/3746] lr: 2.656e-02, eta: 1 day, 9:57:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3825, top5_acc: 0.6348, loss_cls: 3.9086, loss: 3.9086 +2024-01-02 04:40:37,184 - pyskl - INFO - Epoch [99][1200/3746] lr: 2.654e-02, eta: 1 day, 9:56:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3634, top5_acc: 0.6267, loss_cls: 3.9839, loss: 3.9839 +2024-01-02 04:41:36,796 - pyskl - INFO - Epoch [99][1300/3746] lr: 2.651e-02, eta: 1 day, 9:54:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3697, top5_acc: 0.6261, loss_cls: 3.9802, loss: 3.9802 +2024-01-02 04:42:36,370 - pyskl - INFO - Epoch [99][1400/3746] lr: 2.649e-02, eta: 1 day, 9:53:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3706, top5_acc: 0.6317, loss_cls: 3.9507, loss: 3.9507 +2024-01-02 04:43:35,870 - pyskl - INFO - Epoch [99][1500/3746] lr: 2.646e-02, eta: 1 day, 9:52:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3780, top5_acc: 0.6264, loss_cls: 3.9513, loss: 3.9513 +2024-01-02 04:44:35,113 - pyskl - INFO - Epoch [99][1600/3746] lr: 2.644e-02, eta: 1 day, 9:51:18, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3791, top5_acc: 0.6341, loss_cls: 3.9291, loss: 3.9291 +2024-01-02 04:45:34,808 - pyskl - INFO - Epoch [99][1700/3746] lr: 2.642e-02, eta: 1 day, 9:50:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3650, top5_acc: 0.6217, loss_cls: 3.9857, loss: 3.9857 +2024-01-02 04:46:34,458 - pyskl - INFO - Epoch [99][1800/3746] lr: 2.639e-02, eta: 1 day, 9:48:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3655, top5_acc: 0.6262, loss_cls: 3.9817, loss: 3.9817 +2024-01-02 04:47:34,622 - pyskl - INFO - Epoch [99][1900/3746] lr: 2.637e-02, eta: 1 day, 9:47:45, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3678, top5_acc: 0.6239, loss_cls: 3.9835, loss: 3.9835 +2024-01-02 04:48:35,091 - pyskl - INFO - Epoch [99][2000/3746] lr: 2.634e-02, eta: 1 day, 9:46:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3666, top5_acc: 0.6286, loss_cls: 3.9725, loss: 3.9725 +2024-01-02 04:49:34,635 - pyskl - INFO - Epoch [99][2100/3746] lr: 2.632e-02, eta: 1 day, 9:45:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3708, top5_acc: 0.6203, loss_cls: 3.9742, loss: 3.9742 +2024-01-02 04:50:34,666 - pyskl - INFO - Epoch [99][2200/3746] lr: 2.629e-02, eta: 1 day, 9:44:14, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6303, loss_cls: 3.9616, loss: 3.9616 +2024-01-02 04:51:34,636 - pyskl - INFO - Epoch [99][2300/3746] lr: 2.627e-02, eta: 1 day, 9:43:04, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3647, top5_acc: 0.6278, loss_cls: 3.9891, loss: 3.9891 +2024-01-02 04:52:34,120 - pyskl - INFO - Epoch [99][2400/3746] lr: 2.624e-02, eta: 1 day, 9:41:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6372, loss_cls: 3.9381, loss: 3.9381 +2024-01-02 04:53:33,594 - pyskl - INFO - Epoch [99][2500/3746] lr: 2.622e-02, eta: 1 day, 9:40:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3656, top5_acc: 0.6245, loss_cls: 3.9766, loss: 3.9766 +2024-01-02 04:54:32,741 - pyskl - INFO - Epoch [99][2600/3746] lr: 2.619e-02, eta: 1 day, 9:39:29, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3736, top5_acc: 0.6303, loss_cls: 3.9695, loss: 3.9695 +2024-01-02 04:55:32,952 - pyskl - INFO - Epoch [99][2700/3746] lr: 2.617e-02, eta: 1 day, 9:38:19, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3645, top5_acc: 0.6295, loss_cls: 3.9667, loss: 3.9667 +2024-01-02 04:56:33,206 - pyskl - INFO - Epoch [99][2800/3746] lr: 2.614e-02, eta: 1 day, 9:37:09, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3636, top5_acc: 0.6342, loss_cls: 3.9711, loss: 3.9711 +2024-01-02 04:57:33,034 - pyskl - INFO - Epoch [99][2900/3746] lr: 2.612e-02, eta: 1 day, 9:35:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3734, top5_acc: 0.6328, loss_cls: 3.9561, loss: 3.9561 +2024-01-02 04:58:33,393 - pyskl - INFO - Epoch [99][3000/3746] lr: 2.610e-02, eta: 1 day, 9:34:49, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3669, top5_acc: 0.6244, loss_cls: 3.9843, loss: 3.9843 +2024-01-02 04:59:33,697 - pyskl - INFO - Epoch [99][3100/3746] lr: 2.607e-02, eta: 1 day, 9:33:40, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3722, top5_acc: 0.6262, loss_cls: 3.9554, loss: 3.9554 +2024-01-02 05:00:33,931 - pyskl - INFO - Epoch [99][3200/3746] lr: 2.605e-02, eta: 1 day, 9:32:30, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3684, top5_acc: 0.6334, loss_cls: 3.9528, loss: 3.9528 +2024-01-02 05:01:34,223 - pyskl - INFO - Epoch [99][3300/3746] lr: 2.602e-02, eta: 1 day, 9:31:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3689, top5_acc: 0.6261, loss_cls: 3.9696, loss: 3.9696 +2024-01-02 05:02:34,558 - pyskl - INFO - Epoch [99][3400/3746] lr: 2.600e-02, eta: 1 day, 9:30:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3683, top5_acc: 0.6352, loss_cls: 3.9519, loss: 3.9519 +2024-01-02 05:03:34,221 - pyskl - INFO - Epoch [99][3500/3746] lr: 2.597e-02, eta: 1 day, 9:29:01, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.3616, top5_acc: 0.6250, loss_cls: 3.9612, loss: 3.9612 +2024-01-02 05:04:33,856 - pyskl - INFO - Epoch [99][3600/3746] lr: 2.595e-02, eta: 1 day, 9:27:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3644, top5_acc: 0.6141, loss_cls: 3.9972, loss: 3.9972 +2024-01-02 05:05:34,284 - pyskl - INFO - Epoch [99][3700/3746] lr: 2.592e-02, eta: 1 day, 9:26:41, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3777, top5_acc: 0.6273, loss_cls: 3.9834, loss: 3.9834 +2024-01-02 05:06:04,824 - pyskl - INFO - Saving checkpoint at 99 epochs +2024-01-02 05:08:01,996 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 05:08:02,887 - pyskl - INFO - +top1_acc 0.3132 +top5_acc 0.5679 +2024-01-02 05:08:02,887 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 05:08:02,918 - pyskl - INFO - +mean_acc 0.3129 +2024-01-02 05:08:02,924 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_94.pth was removed +2024-01-02 05:08:03,375 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_99.pth. +2024-01-02 05:08:03,376 - pyskl - INFO - Best top1_acc is 0.3132 at 99 epoch. +2024-01-02 05:08:03,384 - pyskl - INFO - Epoch(val) [99][309] top1_acc: 0.3132, top5_acc: 0.5679, mean_class_accuracy: 0.3129 +2024-01-02 05:11:19,692 - pyskl - INFO - Epoch [100][100/3746] lr: 2.589e-02, eta: 1 day, 9:29:10, time: 1.963, data_time: 1.368, memory: 16177, top1_acc: 0.3975, top5_acc: 0.6439, loss_cls: 3.8509, loss: 3.8509 +2024-01-02 05:12:19,362 - pyskl - INFO - Epoch [100][200/3746] lr: 2.586e-02, eta: 1 day, 9:27:59, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3633, top5_acc: 0.6314, loss_cls: 3.9241, loss: 3.9241 +2024-01-02 05:13:19,256 - pyskl - INFO - Epoch [100][300/3746] lr: 2.584e-02, eta: 1 day, 9:26:48, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6353, loss_cls: 3.8871, loss: 3.8871 +2024-01-02 05:14:18,937 - pyskl - INFO - Epoch [100][400/3746] lr: 2.581e-02, eta: 1 day, 9:25:37, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3727, top5_acc: 0.6302, loss_cls: 3.9441, loss: 3.9441 +2024-01-02 05:15:18,758 - pyskl - INFO - Epoch [100][500/3746] lr: 2.579e-02, eta: 1 day, 9:24:27, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6361, loss_cls: 3.9392, loss: 3.9392 +2024-01-02 05:16:18,429 - pyskl - INFO - Epoch [100][600/3746] lr: 2.577e-02, eta: 1 day, 9:23:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3752, top5_acc: 0.6338, loss_cls: 3.9174, loss: 3.9174 +2024-01-02 05:17:18,433 - pyskl - INFO - Epoch [100][700/3746] lr: 2.574e-02, eta: 1 day, 9:22:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3739, top5_acc: 0.6325, loss_cls: 3.9327, loss: 3.9327 +2024-01-02 05:18:18,937 - pyskl - INFO - Epoch [100][800/3746] lr: 2.572e-02, eta: 1 day, 9:20:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3742, top5_acc: 0.6359, loss_cls: 3.9285, loss: 3.9285 +2024-01-02 05:19:18,673 - pyskl - INFO - Epoch [100][900/3746] lr: 2.569e-02, eta: 1 day, 9:19:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3789, top5_acc: 0.6347, loss_cls: 3.9188, loss: 3.9188 +2024-01-02 05:20:17,915 - pyskl - INFO - Epoch [100][1000/3746] lr: 2.567e-02, eta: 1 day, 9:18:34, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3694, top5_acc: 0.6211, loss_cls: 4.0058, loss: 4.0058 +2024-01-02 05:21:17,420 - pyskl - INFO - Epoch [100][1100/3746] lr: 2.564e-02, eta: 1 day, 9:17:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3722, top5_acc: 0.6302, loss_cls: 3.9460, loss: 3.9460 +2024-01-02 05:22:16,661 - pyskl - INFO - Epoch [100][1200/3746] lr: 2.562e-02, eta: 1 day, 9:16:11, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3695, top5_acc: 0.6305, loss_cls: 3.9185, loss: 3.9185 +2024-01-02 05:23:16,200 - pyskl - INFO - Epoch [100][1300/3746] lr: 2.559e-02, eta: 1 day, 9:14:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3820, top5_acc: 0.6339, loss_cls: 3.9294, loss: 3.9294 +2024-01-02 05:24:15,643 - pyskl - INFO - Epoch [100][1400/3746] lr: 2.557e-02, eta: 1 day, 9:13:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3691, top5_acc: 0.6291, loss_cls: 3.9600, loss: 3.9600 +2024-01-02 05:25:15,130 - pyskl - INFO - Epoch [100][1500/3746] lr: 2.555e-02, eta: 1 day, 9:12:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3727, top5_acc: 0.6348, loss_cls: 3.9376, loss: 3.9376 +2024-01-02 05:26:14,652 - pyskl - INFO - Epoch [100][1600/3746] lr: 2.552e-02, eta: 1 day, 9:11:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3722, top5_acc: 0.6338, loss_cls: 3.9493, loss: 3.9493 +2024-01-02 05:27:14,193 - pyskl - INFO - Epoch [100][1700/3746] lr: 2.550e-02, eta: 1 day, 9:10:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3603, top5_acc: 0.6245, loss_cls: 3.9736, loss: 3.9736 +2024-01-02 05:28:13,629 - pyskl - INFO - Epoch [100][1800/3746] lr: 2.547e-02, eta: 1 day, 9:09:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3669, top5_acc: 0.6284, loss_cls: 3.9683, loss: 3.9683 +2024-01-02 05:29:13,330 - pyskl - INFO - Epoch [100][1900/3746] lr: 2.545e-02, eta: 1 day, 9:07:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3656, top5_acc: 0.6328, loss_cls: 3.9596, loss: 3.9596 +2024-01-02 05:30:13,824 - pyskl - INFO - Epoch [100][2000/3746] lr: 2.542e-02, eta: 1 day, 9:06:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3689, top5_acc: 0.6316, loss_cls: 3.9633, loss: 3.9633 +2024-01-02 05:31:13,655 - pyskl - INFO - Epoch [100][2100/3746] lr: 2.540e-02, eta: 1 day, 9:05:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3630, top5_acc: 0.6347, loss_cls: 3.9636, loss: 3.9636 +2024-01-02 05:32:13,017 - pyskl - INFO - Epoch [100][2200/3746] lr: 2.538e-02, eta: 1 day, 9:04:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3666, top5_acc: 0.6269, loss_cls: 3.9783, loss: 3.9783 +2024-01-02 05:33:12,562 - pyskl - INFO - Epoch [100][2300/3746] lr: 2.535e-02, eta: 1 day, 9:03:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3759, top5_acc: 0.6294, loss_cls: 3.9438, loss: 3.9438 +2024-01-02 05:34:11,902 - pyskl - INFO - Epoch [100][2400/3746] lr: 2.533e-02, eta: 1 day, 9:02:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3633, top5_acc: 0.6273, loss_cls: 3.9670, loss: 3.9670 +2024-01-02 05:35:11,261 - pyskl - INFO - Epoch [100][2500/3746] lr: 2.530e-02, eta: 1 day, 9:00:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3652, top5_acc: 0.6309, loss_cls: 3.9438, loss: 3.9438 +2024-01-02 05:36:10,434 - pyskl - INFO - Epoch [100][2600/3746] lr: 2.528e-02, eta: 1 day, 8:59:38, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3772, top5_acc: 0.6336, loss_cls: 3.9503, loss: 3.9503 +2024-01-02 05:37:10,039 - pyskl - INFO - Epoch [100][2700/3746] lr: 2.525e-02, eta: 1 day, 8:58:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3752, top5_acc: 0.6297, loss_cls: 3.9509, loss: 3.9509 +2024-01-02 05:38:09,510 - pyskl - INFO - Epoch [100][2800/3746] lr: 2.523e-02, eta: 1 day, 8:57:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3775, top5_acc: 0.6364, loss_cls: 3.9117, loss: 3.9117 +2024-01-02 05:39:09,000 - pyskl - INFO - Epoch [100][2900/3746] lr: 2.521e-02, eta: 1 day, 8:56:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3706, top5_acc: 0.6225, loss_cls: 3.9514, loss: 3.9514 +2024-01-02 05:40:08,338 - pyskl - INFO - Epoch [100][3000/3746] lr: 2.518e-02, eta: 1 day, 8:54:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3787, top5_acc: 0.6356, loss_cls: 3.9237, loss: 3.9237 +2024-01-02 05:41:07,822 - pyskl - INFO - Epoch [100][3100/3746] lr: 2.516e-02, eta: 1 day, 8:53:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3670, top5_acc: 0.6303, loss_cls: 3.9626, loss: 3.9626 +2024-01-02 05:42:07,282 - pyskl - INFO - Epoch [100][3200/3746] lr: 2.513e-02, eta: 1 day, 8:52:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3634, top5_acc: 0.6344, loss_cls: 3.9555, loss: 3.9555 +2024-01-02 05:43:07,173 - pyskl - INFO - Epoch [100][3300/3746] lr: 2.511e-02, eta: 1 day, 8:51:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3658, top5_acc: 0.6275, loss_cls: 3.9746, loss: 3.9746 +2024-01-02 05:44:07,378 - pyskl - INFO - Epoch [100][3400/3746] lr: 2.508e-02, eta: 1 day, 8:50:14, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3741, top5_acc: 0.6316, loss_cls: 3.9314, loss: 3.9314 +2024-01-02 05:45:06,883 - pyskl - INFO - Epoch [100][3500/3746] lr: 2.506e-02, eta: 1 day, 8:49:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3808, top5_acc: 0.6339, loss_cls: 3.9303, loss: 3.9303 +2024-01-02 05:46:06,406 - pyskl - INFO - Epoch [100][3600/3746] lr: 2.504e-02, eta: 1 day, 8:47:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3747, top5_acc: 0.6325, loss_cls: 3.9622, loss: 3.9622 +2024-01-02 05:47:07,081 - pyskl - INFO - Epoch [100][3700/3746] lr: 2.501e-02, eta: 1 day, 8:46:44, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.3720, top5_acc: 0.6277, loss_cls: 3.9850, loss: 3.9850 +2024-01-02 05:47:37,803 - pyskl - INFO - Saving checkpoint at 100 epochs +2024-01-02 05:49:33,938 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 05:49:34,978 - pyskl - INFO - +top1_acc 0.3093 +top5_acc 0.5597 +2024-01-02 05:49:34,978 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 05:49:35,017 - pyskl - INFO - +mean_acc 0.3089 +2024-01-02 05:49:35,025 - pyskl - INFO - Epoch(val) [100][309] top1_acc: 0.3093, top5_acc: 0.5597, mean_class_accuracy: 0.3089 +2024-01-02 05:52:55,264 - pyskl - INFO - Epoch [101][100/3746] lr: 2.498e-02, eta: 1 day, 8:49:08, time: 2.002, data_time: 1.409, memory: 16177, top1_acc: 0.3853, top5_acc: 0.6489, loss_cls: 3.8679, loss: 3.8679 +2024-01-02 05:53:54,615 - pyskl - INFO - Epoch [101][200/3746] lr: 2.495e-02, eta: 1 day, 8:47:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6464, loss_cls: 3.8664, loss: 3.8664 +2024-01-02 05:54:53,833 - pyskl - INFO - Epoch [101][300/3746] lr: 2.493e-02, eta: 1 day, 8:46:45, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3748, top5_acc: 0.6295, loss_cls: 3.9351, loss: 3.9351 +2024-01-02 05:55:52,947 - pyskl - INFO - Epoch [101][400/3746] lr: 2.490e-02, eta: 1 day, 8:45:33, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6436, loss_cls: 3.8750, loss: 3.8750 +2024-01-02 05:56:52,465 - pyskl - INFO - Epoch [101][500/3746] lr: 2.488e-02, eta: 1 day, 8:44:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3797, top5_acc: 0.6480, loss_cls: 3.8580, loss: 3.8580 +2024-01-02 05:57:51,724 - pyskl - INFO - Epoch [101][600/3746] lr: 2.486e-02, eta: 1 day, 8:43:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3850, top5_acc: 0.6289, loss_cls: 3.9331, loss: 3.9331 +2024-01-02 05:58:51,692 - pyskl - INFO - Epoch [101][700/3746] lr: 2.483e-02, eta: 1 day, 8:42:01, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3780, top5_acc: 0.6442, loss_cls: 3.9057, loss: 3.9057 +2024-01-02 05:59:51,834 - pyskl - INFO - Epoch [101][800/3746] lr: 2.481e-02, eta: 1 day, 8:40:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6377, loss_cls: 3.9132, loss: 3.9132 +2024-01-02 06:00:51,294 - pyskl - INFO - Epoch [101][900/3746] lr: 2.478e-02, eta: 1 day, 8:39:41, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3814, top5_acc: 0.6436, loss_cls: 3.8957, loss: 3.8957 +2024-01-02 06:01:50,821 - pyskl - INFO - Epoch [101][1000/3746] lr: 2.476e-02, eta: 1 day, 8:38:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3777, top5_acc: 0.6395, loss_cls: 3.9102, loss: 3.9102 +2024-01-02 06:02:50,368 - pyskl - INFO - Epoch [101][1100/3746] lr: 2.473e-02, eta: 1 day, 8:37:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3708, top5_acc: 0.6247, loss_cls: 3.9643, loss: 3.9643 +2024-01-02 06:03:49,389 - pyskl - INFO - Epoch [101][1200/3746] lr: 2.471e-02, eta: 1 day, 8:36:08, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3627, top5_acc: 0.6395, loss_cls: 3.9218, loss: 3.9218 +2024-01-02 06:04:48,510 - pyskl - INFO - Epoch [101][1300/3746] lr: 2.469e-02, eta: 1 day, 8:34:56, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3702, top5_acc: 0.6350, loss_cls: 3.9350, loss: 3.9350 +2024-01-02 06:05:47,678 - pyskl - INFO - Epoch [101][1400/3746] lr: 2.466e-02, eta: 1 day, 8:33:45, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6352, loss_cls: 3.9217, loss: 3.9217 +2024-01-02 06:06:47,082 - pyskl - INFO - Epoch [101][1500/3746] lr: 2.464e-02, eta: 1 day, 8:32:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3812, top5_acc: 0.6266, loss_cls: 3.9466, loss: 3.9466 +2024-01-02 06:07:46,441 - pyskl - INFO - Epoch [101][1600/3746] lr: 2.461e-02, eta: 1 day, 8:31:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3741, top5_acc: 0.6311, loss_cls: 3.9385, loss: 3.9385 +2024-01-02 06:08:45,690 - pyskl - INFO - Epoch [101][1700/3746] lr: 2.459e-02, eta: 1 day, 8:30:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3823, top5_acc: 0.6448, loss_cls: 3.9094, loss: 3.9094 +2024-01-02 06:09:45,234 - pyskl - INFO - Epoch [101][1800/3746] lr: 2.457e-02, eta: 1 day, 8:29:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3581, top5_acc: 0.6267, loss_cls: 3.9879, loss: 3.9879 +2024-01-02 06:10:44,705 - pyskl - INFO - Epoch [101][1900/3746] lr: 2.454e-02, eta: 1 day, 8:27:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3713, top5_acc: 0.6314, loss_cls: 3.9434, loss: 3.9434 +2024-01-02 06:11:44,759 - pyskl - INFO - Epoch [101][2000/3746] lr: 2.452e-02, eta: 1 day, 8:26:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3833, top5_acc: 0.6433, loss_cls: 3.8937, loss: 3.8937 +2024-01-02 06:12:45,010 - pyskl - INFO - Epoch [101][2100/3746] lr: 2.449e-02, eta: 1 day, 8:25:33, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3705, top5_acc: 0.6328, loss_cls: 3.9404, loss: 3.9404 +2024-01-02 06:13:45,076 - pyskl - INFO - Epoch [101][2200/3746] lr: 2.447e-02, eta: 1 day, 8:24:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3802, top5_acc: 0.6348, loss_cls: 3.9312, loss: 3.9312 +2024-01-02 06:14:45,283 - pyskl - INFO - Epoch [101][2300/3746] lr: 2.445e-02, eta: 1 day, 8:23:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3817, top5_acc: 0.6330, loss_cls: 3.9297, loss: 3.9297 +2024-01-02 06:15:44,659 - pyskl - INFO - Epoch [101][2400/3746] lr: 2.442e-02, eta: 1 day, 8:22:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3702, top5_acc: 0.6403, loss_cls: 3.9149, loss: 3.9149 +2024-01-02 06:16:44,203 - pyskl - INFO - Epoch [101][2500/3746] lr: 2.440e-02, eta: 1 day, 8:20:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3648, top5_acc: 0.6330, loss_cls: 3.9608, loss: 3.9608 +2024-01-02 06:17:43,805 - pyskl - INFO - Epoch [101][2600/3746] lr: 2.437e-02, eta: 1 day, 8:19:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3644, top5_acc: 0.6280, loss_cls: 3.9751, loss: 3.9751 +2024-01-02 06:18:43,319 - pyskl - INFO - Epoch [101][2700/3746] lr: 2.435e-02, eta: 1 day, 8:18:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3783, top5_acc: 0.6400, loss_cls: 3.9136, loss: 3.9136 +2024-01-02 06:19:42,759 - pyskl - INFO - Epoch [101][2800/3746] lr: 2.433e-02, eta: 1 day, 8:17:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3803, top5_acc: 0.6458, loss_cls: 3.8974, loss: 3.8974 +2024-01-02 06:20:42,322 - pyskl - INFO - Epoch [101][2900/3746] lr: 2.430e-02, eta: 1 day, 8:16:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3691, top5_acc: 0.6348, loss_cls: 3.9588, loss: 3.9588 +2024-01-02 06:21:42,234 - pyskl - INFO - Epoch [101][3000/3746] lr: 2.428e-02, eta: 1 day, 8:15:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6406, loss_cls: 3.8953, loss: 3.8953 +2024-01-02 06:22:42,146 - pyskl - INFO - Epoch [101][3100/3746] lr: 2.425e-02, eta: 1 day, 8:13:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3688, top5_acc: 0.6367, loss_cls: 3.9365, loss: 3.9365 +2024-01-02 06:23:41,707 - pyskl - INFO - Epoch [101][3200/3746] lr: 2.423e-02, eta: 1 day, 8:12:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3730, top5_acc: 0.6325, loss_cls: 3.9186, loss: 3.9186 +2024-01-02 06:24:41,856 - pyskl - INFO - Epoch [101][3300/3746] lr: 2.421e-02, eta: 1 day, 8:11:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3706, top5_acc: 0.6314, loss_cls: 3.9643, loss: 3.9643 +2024-01-02 06:25:42,692 - pyskl - INFO - Epoch [101][3400/3746] lr: 2.418e-02, eta: 1 day, 8:10:28, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3770, top5_acc: 0.6348, loss_cls: 3.9323, loss: 3.9323 +2024-01-02 06:26:42,044 - pyskl - INFO - Epoch [101][3500/3746] lr: 2.416e-02, eta: 1 day, 8:09:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3767, top5_acc: 0.6314, loss_cls: 3.9227, loss: 3.9227 +2024-01-02 06:27:41,856 - pyskl - INFO - Epoch [101][3600/3746] lr: 2.413e-02, eta: 1 day, 8:08:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3697, top5_acc: 0.6219, loss_cls: 3.9697, loss: 3.9697 +2024-01-02 06:28:42,762 - pyskl - INFO - Epoch [101][3700/3746] lr: 2.411e-02, eta: 1 day, 8:07:01, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.3741, top5_acc: 0.6231, loss_cls: 3.9480, loss: 3.9480 +2024-01-02 06:29:13,101 - pyskl - INFO - Saving checkpoint at 101 epochs +2024-01-02 06:31:09,816 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 06:31:10,884 - pyskl - INFO - +top1_acc 0.3201 +top5_acc 0.5765 +2024-01-02 06:31:10,884 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 06:31:10,920 - pyskl - INFO - +mean_acc 0.3198 +2024-01-02 06:31:10,926 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_99.pth was removed +2024-01-02 06:31:11,229 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_101.pth. +2024-01-02 06:31:11,230 - pyskl - INFO - Best top1_acc is 0.3201 at 101 epoch. +2024-01-02 06:31:11,238 - pyskl - INFO - Epoch(val) [101][309] top1_acc: 0.3201, top5_acc: 0.5765, mean_class_accuracy: 0.3198 +2024-01-02 06:34:37,180 - pyskl - INFO - Epoch [102][100/3746] lr: 2.407e-02, eta: 1 day, 8:09:21, time: 2.059, data_time: 1.459, memory: 16177, top1_acc: 0.3959, top5_acc: 0.6606, loss_cls: 3.8221, loss: 3.8221 +2024-01-02 06:35:36,895 - pyskl - INFO - Epoch [102][200/3746] lr: 2.405e-02, eta: 1 day, 8:08:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3817, top5_acc: 0.6477, loss_cls: 3.8533, loss: 3.8533 +2024-01-02 06:36:36,818 - pyskl - INFO - Epoch [102][300/3746] lr: 2.403e-02, eta: 1 day, 8:07:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3852, top5_acc: 0.6411, loss_cls: 3.9017, loss: 3.9017 +2024-01-02 06:37:36,316 - pyskl - INFO - Epoch [102][400/3746] lr: 2.400e-02, eta: 1 day, 8:05:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3930, top5_acc: 0.6578, loss_cls: 3.8303, loss: 3.8303 +2024-01-02 06:38:35,581 - pyskl - INFO - Epoch [102][500/3746] lr: 2.398e-02, eta: 1 day, 8:04:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6389, loss_cls: 3.9070, loss: 3.9070 +2024-01-02 06:39:35,451 - pyskl - INFO - Epoch [102][600/3746] lr: 2.396e-02, eta: 1 day, 8:03:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3837, top5_acc: 0.6533, loss_cls: 3.8460, loss: 3.8460 +2024-01-02 06:40:35,409 - pyskl - INFO - Epoch [102][700/3746] lr: 2.393e-02, eta: 1 day, 8:02:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6391, loss_cls: 3.9143, loss: 3.9143 +2024-01-02 06:41:35,693 - pyskl - INFO - Epoch [102][800/3746] lr: 2.391e-02, eta: 1 day, 8:01:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3939, top5_acc: 0.6475, loss_cls: 3.8562, loss: 3.8562 +2024-01-02 06:42:35,284 - pyskl - INFO - Epoch [102][900/3746] lr: 2.388e-02, eta: 1 day, 8:00:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3867, top5_acc: 0.6489, loss_cls: 3.8825, loss: 3.8825 +2024-01-02 06:43:35,200 - pyskl - INFO - Epoch [102][1000/3746] lr: 2.386e-02, eta: 1 day, 7:58:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3845, top5_acc: 0.6425, loss_cls: 3.8623, loss: 3.8623 +2024-01-02 06:44:34,804 - pyskl - INFO - Epoch [102][1100/3746] lr: 2.384e-02, eta: 1 day, 7:57:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6364, loss_cls: 3.9137, loss: 3.9137 +2024-01-02 06:45:34,175 - pyskl - INFO - Epoch [102][1200/3746] lr: 2.381e-02, eta: 1 day, 7:56:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3816, top5_acc: 0.6522, loss_cls: 3.8550, loss: 3.8550 +2024-01-02 06:46:33,390 - pyskl - INFO - Epoch [102][1300/3746] lr: 2.379e-02, eta: 1 day, 7:55:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3723, top5_acc: 0.6278, loss_cls: 3.9324, loss: 3.9324 +2024-01-02 06:47:32,588 - pyskl - INFO - Epoch [102][1400/3746] lr: 2.376e-02, eta: 1 day, 7:54:11, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3698, top5_acc: 0.6309, loss_cls: 3.9537, loss: 3.9537 +2024-01-02 06:48:31,979 - pyskl - INFO - Epoch [102][1500/3746] lr: 2.374e-02, eta: 1 day, 7:53:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3798, top5_acc: 0.6395, loss_cls: 3.8944, loss: 3.8944 +2024-01-02 06:49:31,417 - pyskl - INFO - Epoch [102][1600/3746] lr: 2.372e-02, eta: 1 day, 7:51:51, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3798, top5_acc: 0.6300, loss_cls: 3.9559, loss: 3.9559 +2024-01-02 06:50:31,130 - pyskl - INFO - Epoch [102][1700/3746] lr: 2.369e-02, eta: 1 day, 7:50:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3795, top5_acc: 0.6361, loss_cls: 3.9191, loss: 3.9191 +2024-01-02 06:51:30,815 - pyskl - INFO - Epoch [102][1800/3746] lr: 2.367e-02, eta: 1 day, 7:49:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3784, top5_acc: 0.6497, loss_cls: 3.8715, loss: 3.8715 +2024-01-02 06:52:30,539 - pyskl - INFO - Epoch [102][1900/3746] lr: 2.365e-02, eta: 1 day, 7:48:22, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6373, loss_cls: 3.9183, loss: 3.9183 +2024-01-02 06:53:29,794 - pyskl - INFO - Epoch [102][2000/3746] lr: 2.362e-02, eta: 1 day, 7:47:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3769, top5_acc: 0.6338, loss_cls: 3.9258, loss: 3.9258 +2024-01-02 06:54:29,346 - pyskl - INFO - Epoch [102][2100/3746] lr: 2.360e-02, eta: 1 day, 7:46:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6384, loss_cls: 3.9270, loss: 3.9270 +2024-01-02 06:55:28,626 - pyskl - INFO - Epoch [102][2200/3746] lr: 2.357e-02, eta: 1 day, 7:44:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3852, top5_acc: 0.6475, loss_cls: 3.8715, loss: 3.8715 +2024-01-02 06:56:28,036 - pyskl - INFO - Epoch [102][2300/3746] lr: 2.355e-02, eta: 1 day, 7:43:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6448, loss_cls: 3.8972, loss: 3.8972 +2024-01-02 06:57:27,450 - pyskl - INFO - Epoch [102][2400/3746] lr: 2.353e-02, eta: 1 day, 7:42:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3716, top5_acc: 0.6378, loss_cls: 3.9307, loss: 3.9307 +2024-01-02 06:58:26,797 - pyskl - INFO - Epoch [102][2500/3746] lr: 2.350e-02, eta: 1 day, 7:41:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6356, loss_cls: 3.9218, loss: 3.9218 +2024-01-02 06:59:26,203 - pyskl - INFO - Epoch [102][2600/3746] lr: 2.348e-02, eta: 1 day, 7:40:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3808, top5_acc: 0.6370, loss_cls: 3.9239, loss: 3.9239 +2024-01-02 07:00:25,546 - pyskl - INFO - Epoch [102][2700/3746] lr: 2.346e-02, eta: 1 day, 7:39:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3756, top5_acc: 0.6420, loss_cls: 3.9076, loss: 3.9076 +2024-01-02 07:01:24,714 - pyskl - INFO - Epoch [102][2800/3746] lr: 2.343e-02, eta: 1 day, 7:37:50, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3781, top5_acc: 0.6395, loss_cls: 3.9478, loss: 3.9478 +2024-01-02 07:02:24,311 - pyskl - INFO - Epoch [102][2900/3746] lr: 2.341e-02, eta: 1 day, 7:36:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3794, top5_acc: 0.6438, loss_cls: 3.9037, loss: 3.9037 +2024-01-02 07:03:23,814 - pyskl - INFO - Epoch [102][3000/3746] lr: 2.339e-02, eta: 1 day, 7:35:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3809, top5_acc: 0.6391, loss_cls: 3.9150, loss: 3.9150 +2024-01-02 07:04:23,266 - pyskl - INFO - Epoch [102][3100/3746] lr: 2.336e-02, eta: 1 day, 7:34:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3812, top5_acc: 0.6411, loss_cls: 3.9130, loss: 3.9130 +2024-01-02 07:05:22,751 - pyskl - INFO - Epoch [102][3200/3746] lr: 2.334e-02, eta: 1 day, 7:33:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3798, top5_acc: 0.6344, loss_cls: 3.9414, loss: 3.9414 +2024-01-02 07:06:22,613 - pyskl - INFO - Epoch [102][3300/3746] lr: 2.331e-02, eta: 1 day, 7:32:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3831, top5_acc: 0.6339, loss_cls: 3.9223, loss: 3.9223 +2024-01-02 07:07:23,398 - pyskl - INFO - Epoch [102][3400/3746] lr: 2.329e-02, eta: 1 day, 7:30:55, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3745, top5_acc: 0.6283, loss_cls: 3.9237, loss: 3.9237 +2024-01-02 07:08:22,784 - pyskl - INFO - Epoch [102][3500/3746] lr: 2.327e-02, eta: 1 day, 7:29:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3669, top5_acc: 0.6336, loss_cls: 3.9563, loss: 3.9563 +2024-01-02 07:09:22,766 - pyskl - INFO - Epoch [102][3600/3746] lr: 2.324e-02, eta: 1 day, 7:28:36, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6316, loss_cls: 3.9434, loss: 3.9434 +2024-01-02 07:10:23,362 - pyskl - INFO - Epoch [102][3700/3746] lr: 2.322e-02, eta: 1 day, 7:27:28, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.3613, top5_acc: 0.6209, loss_cls: 3.9784, loss: 3.9784 +2024-01-02 07:10:53,734 - pyskl - INFO - Saving checkpoint at 102 epochs +2024-01-02 07:12:49,753 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 07:12:50,543 - pyskl - INFO - +top1_acc 0.3227 +top5_acc 0.5817 +2024-01-02 07:12:50,543 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 07:12:50,579 - pyskl - INFO - +mean_acc 0.3225 +2024-01-02 07:12:50,584 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_101.pth was removed +2024-01-02 07:12:50,855 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_102.pth. +2024-01-02 07:12:50,856 - pyskl - INFO - Best top1_acc is 0.3227 at 102 epoch. +2024-01-02 07:12:50,870 - pyskl - INFO - Epoch(val) [102][309] top1_acc: 0.3227, top5_acc: 0.5817, mean_class_accuracy: 0.3225 +2024-01-02 07:16:09,490 - pyskl - INFO - Epoch [103][100/3746] lr: 2.319e-02, eta: 1 day, 7:29:21, time: 1.986, data_time: 1.389, memory: 16177, top1_acc: 0.4131, top5_acc: 0.6614, loss_cls: 3.7663, loss: 3.7663 +2024-01-02 07:17:09,271 - pyskl - INFO - Epoch [103][200/3746] lr: 2.316e-02, eta: 1 day, 7:28:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3839, top5_acc: 0.6542, loss_cls: 3.8437, loss: 3.8437 +2024-01-02 07:18:08,929 - pyskl - INFO - Epoch [103][300/3746] lr: 2.314e-02, eta: 1 day, 7:27:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3834, top5_acc: 0.6445, loss_cls: 3.8587, loss: 3.8587 +2024-01-02 07:19:08,807 - pyskl - INFO - Epoch [103][400/3746] lr: 2.311e-02, eta: 1 day, 7:25:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3830, top5_acc: 0.6509, loss_cls: 3.8551, loss: 3.8551 +2024-01-02 07:20:09,860 - pyskl - INFO - Epoch [103][500/3746] lr: 2.309e-02, eta: 1 day, 7:24:46, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3839, top5_acc: 0.6456, loss_cls: 3.8872, loss: 3.8872 +2024-01-02 07:21:10,206 - pyskl - INFO - Epoch [103][600/3746] lr: 2.307e-02, eta: 1 day, 7:23:38, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3891, top5_acc: 0.6528, loss_cls: 3.8522, loss: 3.8522 +2024-01-02 07:22:09,619 - pyskl - INFO - Epoch [103][700/3746] lr: 2.304e-02, eta: 1 day, 7:22:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3767, top5_acc: 0.6442, loss_cls: 3.8959, loss: 3.8959 +2024-01-02 07:23:10,372 - pyskl - INFO - Epoch [103][800/3746] lr: 2.302e-02, eta: 1 day, 7:21:20, time: 0.608, data_time: 0.001, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6425, loss_cls: 3.8900, loss: 3.8900 +2024-01-02 07:24:10,207 - pyskl - INFO - Epoch [103][900/3746] lr: 2.300e-02, eta: 1 day, 7:20:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6417, loss_cls: 3.9106, loss: 3.9106 +2024-01-02 07:25:09,701 - pyskl - INFO - Epoch [103][1000/3746] lr: 2.297e-02, eta: 1 day, 7:19:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3728, top5_acc: 0.6411, loss_cls: 3.9183, loss: 3.9183 +2024-01-02 07:26:08,887 - pyskl - INFO - Epoch [103][1100/3746] lr: 2.295e-02, eta: 1 day, 7:17:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3856, top5_acc: 0.6464, loss_cls: 3.8783, loss: 3.8783 +2024-01-02 07:27:08,547 - pyskl - INFO - Epoch [103][1200/3746] lr: 2.293e-02, eta: 1 day, 7:16:41, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3842, top5_acc: 0.6450, loss_cls: 3.8724, loss: 3.8724 +2024-01-02 07:28:07,968 - pyskl - INFO - Epoch [103][1300/3746] lr: 2.290e-02, eta: 1 day, 7:15:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3798, top5_acc: 0.6380, loss_cls: 3.9021, loss: 3.9021 +2024-01-02 07:29:07,441 - pyskl - INFO - Epoch [103][1400/3746] lr: 2.288e-02, eta: 1 day, 7:14:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3808, top5_acc: 0.6362, loss_cls: 3.9213, loss: 3.9213 +2024-01-02 07:30:07,364 - pyskl - INFO - Epoch [103][1500/3746] lr: 2.286e-02, eta: 1 day, 7:13:13, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3802, top5_acc: 0.6402, loss_cls: 3.8975, loss: 3.8975 +2024-01-02 07:31:06,517 - pyskl - INFO - Epoch [103][1600/3746] lr: 2.283e-02, eta: 1 day, 7:12:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3731, top5_acc: 0.6248, loss_cls: 3.9789, loss: 3.9789 +2024-01-02 07:32:05,687 - pyskl - INFO - Epoch [103][1700/3746] lr: 2.281e-02, eta: 1 day, 7:10:52, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3883, top5_acc: 0.6442, loss_cls: 3.8964, loss: 3.8964 +2024-01-02 07:33:04,983 - pyskl - INFO - Epoch [103][1800/3746] lr: 2.279e-02, eta: 1 day, 7:09:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3819, top5_acc: 0.6470, loss_cls: 3.8982, loss: 3.8982 +2024-01-02 07:34:04,422 - pyskl - INFO - Epoch [103][1900/3746] lr: 2.276e-02, eta: 1 day, 7:08:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3773, top5_acc: 0.6334, loss_cls: 3.9260, loss: 3.9260 +2024-01-02 07:35:04,307 - pyskl - INFO - Epoch [103][2000/3746] lr: 2.274e-02, eta: 1 day, 7:07:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6375, loss_cls: 3.9278, loss: 3.9278 +2024-01-02 07:36:03,699 - pyskl - INFO - Epoch [103][2100/3746] lr: 2.272e-02, eta: 1 day, 7:06:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3762, top5_acc: 0.6434, loss_cls: 3.8877, loss: 3.8877 +2024-01-02 07:37:03,202 - pyskl - INFO - Epoch [103][2200/3746] lr: 2.269e-02, eta: 1 day, 7:05:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3848, top5_acc: 0.6453, loss_cls: 3.8979, loss: 3.8979 +2024-01-02 07:38:03,306 - pyskl - INFO - Epoch [103][2300/3746] lr: 2.267e-02, eta: 1 day, 7:03:56, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6445, loss_cls: 3.8810, loss: 3.8810 +2024-01-02 07:39:02,398 - pyskl - INFO - Epoch [103][2400/3746] lr: 2.264e-02, eta: 1 day, 7:02:46, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3814, top5_acc: 0.6405, loss_cls: 3.9075, loss: 3.9075 +2024-01-02 07:40:01,879 - pyskl - INFO - Epoch [103][2500/3746] lr: 2.262e-02, eta: 1 day, 7:01:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3777, top5_acc: 0.6331, loss_cls: 3.9248, loss: 3.9248 +2024-01-02 07:41:01,897 - pyskl - INFO - Epoch [103][2600/3746] lr: 2.260e-02, eta: 1 day, 7:00:28, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3900, top5_acc: 0.6394, loss_cls: 3.8861, loss: 3.8861 +2024-01-02 07:42:01,211 - pyskl - INFO - Epoch [103][2700/3746] lr: 2.257e-02, eta: 1 day, 6:59:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3730, top5_acc: 0.6362, loss_cls: 3.9237, loss: 3.9237 +2024-01-02 07:43:00,604 - pyskl - INFO - Epoch [103][2800/3746] lr: 2.255e-02, eta: 1 day, 6:58:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3803, top5_acc: 0.6392, loss_cls: 3.8928, loss: 3.8928 +2024-01-02 07:43:59,840 - pyskl - INFO - Epoch [103][2900/3746] lr: 2.253e-02, eta: 1 day, 6:56:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3731, top5_acc: 0.6364, loss_cls: 3.9305, loss: 3.9305 +2024-01-02 07:44:59,193 - pyskl - INFO - Epoch [103][3000/3746] lr: 2.250e-02, eta: 1 day, 6:55:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3819, top5_acc: 0.6456, loss_cls: 3.8762, loss: 3.8762 +2024-01-02 07:45:58,629 - pyskl - INFO - Epoch [103][3100/3746] lr: 2.248e-02, eta: 1 day, 6:54:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3931, top5_acc: 0.6494, loss_cls: 3.8566, loss: 3.8566 +2024-01-02 07:46:58,425 - pyskl - INFO - Epoch [103][3200/3746] lr: 2.246e-02, eta: 1 day, 6:53:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3833, top5_acc: 0.6462, loss_cls: 3.8669, loss: 3.8669 +2024-01-02 07:47:58,955 - pyskl - INFO - Epoch [103][3300/3746] lr: 2.243e-02, eta: 1 day, 6:52:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3766, top5_acc: 0.6347, loss_cls: 3.9216, loss: 3.9216 +2024-01-02 07:48:59,428 - pyskl - INFO - Epoch [103][3400/3746] lr: 2.241e-02, eta: 1 day, 6:51:16, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3758, top5_acc: 0.6306, loss_cls: 3.9367, loss: 3.9367 +2024-01-02 07:49:58,954 - pyskl - INFO - Epoch [103][3500/3746] lr: 2.239e-02, eta: 1 day, 6:50:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3708, top5_acc: 0.6305, loss_cls: 3.9393, loss: 3.9393 +2024-01-02 07:50:58,334 - pyskl - INFO - Epoch [103][3600/3746] lr: 2.236e-02, eta: 1 day, 6:48:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3766, top5_acc: 0.6258, loss_cls: 3.9453, loss: 3.9453 +2024-01-02 07:51:58,890 - pyskl - INFO - Epoch [103][3700/3746] lr: 2.234e-02, eta: 1 day, 6:47:50, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4011, top5_acc: 0.6553, loss_cls: 3.8317, loss: 3.8317 +2024-01-02 07:52:29,500 - pyskl - INFO - Saving checkpoint at 103 epochs +2024-01-02 07:54:27,630 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 07:54:28,687 - pyskl - INFO - +top1_acc 0.3168 +top5_acc 0.5784 +2024-01-02 07:54:28,687 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 07:54:28,735 - pyskl - INFO - +mean_acc 0.3167 +2024-01-02 07:54:28,751 - pyskl - INFO - Epoch(val) [103][309] top1_acc: 0.3168, top5_acc: 0.5784, mean_class_accuracy: 0.3167 +2024-01-02 07:58:01,001 - pyskl - INFO - Epoch [104][100/3746] lr: 2.231e-02, eta: 1 day, 6:49:55, time: 2.122, data_time: 1.528, memory: 16177, top1_acc: 0.3997, top5_acc: 0.6577, loss_cls: 3.7895, loss: 3.7895 +2024-01-02 07:59:01,440 - pyskl - INFO - Epoch [104][200/3746] lr: 2.228e-02, eta: 1 day, 6:48:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3919, top5_acc: 0.6570, loss_cls: 3.8329, loss: 3.8329 +2024-01-02 08:00:01,923 - pyskl - INFO - Epoch [104][300/3746] lr: 2.226e-02, eta: 1 day, 6:47:40, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3880, top5_acc: 0.6502, loss_cls: 3.8460, loss: 3.8460 +2024-01-02 08:01:02,480 - pyskl - INFO - Epoch [104][400/3746] lr: 2.224e-02, eta: 1 day, 6:46:32, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4009, top5_acc: 0.6528, loss_cls: 3.8106, loss: 3.8106 +2024-01-02 08:02:02,536 - pyskl - INFO - Epoch [104][500/3746] lr: 2.221e-02, eta: 1 day, 6:45:24, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3769, top5_acc: 0.6414, loss_cls: 3.8864, loss: 3.8864 +2024-01-02 08:03:01,741 - pyskl - INFO - Epoch [104][600/3746] lr: 2.219e-02, eta: 1 day, 6:44:14, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3908, top5_acc: 0.6462, loss_cls: 3.8382, loss: 3.8382 +2024-01-02 08:04:01,345 - pyskl - INFO - Epoch [104][700/3746] lr: 2.217e-02, eta: 1 day, 6:43:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3823, top5_acc: 0.6452, loss_cls: 3.8701, loss: 3.8701 +2024-01-02 08:05:01,695 - pyskl - INFO - Epoch [104][800/3746] lr: 2.214e-02, eta: 1 day, 6:41:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3936, top5_acc: 0.6561, loss_cls: 3.8262, loss: 3.8262 +2024-01-02 08:06:01,683 - pyskl - INFO - Epoch [104][900/3746] lr: 2.212e-02, eta: 1 day, 6:40:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3772, top5_acc: 0.6414, loss_cls: 3.8906, loss: 3.8906 +2024-01-02 08:07:01,212 - pyskl - INFO - Epoch [104][1000/3746] lr: 2.210e-02, eta: 1 day, 6:39:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3837, top5_acc: 0.6450, loss_cls: 3.8745, loss: 3.8745 +2024-01-02 08:08:00,876 - pyskl - INFO - Epoch [104][1100/3746] lr: 2.208e-02, eta: 1 day, 6:38:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3797, top5_acc: 0.6470, loss_cls: 3.8676, loss: 3.8676 +2024-01-02 08:09:00,490 - pyskl - INFO - Epoch [104][1200/3746] lr: 2.205e-02, eta: 1 day, 6:37:21, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6409, loss_cls: 3.8932, loss: 3.8932 +2024-01-02 08:09:59,793 - pyskl - INFO - Epoch [104][1300/3746] lr: 2.203e-02, eta: 1 day, 6:36:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6416, loss_cls: 3.8716, loss: 3.8716 +2024-01-02 08:10:59,050 - pyskl - INFO - Epoch [104][1400/3746] lr: 2.201e-02, eta: 1 day, 6:35:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3911, top5_acc: 0.6481, loss_cls: 3.8795, loss: 3.8795 +2024-01-02 08:11:58,609 - pyskl - INFO - Epoch [104][1500/3746] lr: 2.198e-02, eta: 1 day, 6:33:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3852, top5_acc: 0.6431, loss_cls: 3.8770, loss: 3.8770 +2024-01-02 08:12:58,010 - pyskl - INFO - Epoch [104][1600/3746] lr: 2.196e-02, eta: 1 day, 6:32:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3845, top5_acc: 0.6427, loss_cls: 3.8854, loss: 3.8854 +2024-01-02 08:13:57,718 - pyskl - INFO - Epoch [104][1700/3746] lr: 2.194e-02, eta: 1 day, 6:31:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3786, top5_acc: 0.6388, loss_cls: 3.8864, loss: 3.8864 +2024-01-02 08:14:57,341 - pyskl - INFO - Epoch [104][1800/3746] lr: 2.191e-02, eta: 1 day, 6:30:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3906, top5_acc: 0.6434, loss_cls: 3.8632, loss: 3.8632 +2024-01-02 08:15:56,775 - pyskl - INFO - Epoch [104][1900/3746] lr: 2.189e-02, eta: 1 day, 6:29:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3964, top5_acc: 0.6523, loss_cls: 3.8338, loss: 3.8338 +2024-01-02 08:16:56,194 - pyskl - INFO - Epoch [104][2000/3746] lr: 2.187e-02, eta: 1 day, 6:28:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3761, top5_acc: 0.6420, loss_cls: 3.8924, loss: 3.8924 +2024-01-02 08:17:55,446 - pyskl - INFO - Epoch [104][2100/3746] lr: 2.184e-02, eta: 1 day, 6:26:56, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3886, top5_acc: 0.6355, loss_cls: 3.8980, loss: 3.8980 +2024-01-02 08:18:54,846 - pyskl - INFO - Epoch [104][2200/3746] lr: 2.182e-02, eta: 1 day, 6:25:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3820, top5_acc: 0.6462, loss_cls: 3.8643, loss: 3.8643 +2024-01-02 08:19:53,864 - pyskl - INFO - Epoch [104][2300/3746] lr: 2.180e-02, eta: 1 day, 6:24:37, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3836, top5_acc: 0.6419, loss_cls: 3.8975, loss: 3.8975 +2024-01-02 08:20:53,160 - pyskl - INFO - Epoch [104][2400/3746] lr: 2.177e-02, eta: 1 day, 6:23:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3847, top5_acc: 0.6442, loss_cls: 3.8757, loss: 3.8757 +2024-01-02 08:21:52,610 - pyskl - INFO - Epoch [104][2500/3746] lr: 2.175e-02, eta: 1 day, 6:22:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3880, top5_acc: 0.6439, loss_cls: 3.8686, loss: 3.8686 +2024-01-02 08:22:52,410 - pyskl - INFO - Epoch [104][2600/3746] lr: 2.173e-02, eta: 1 day, 6:21:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3861, top5_acc: 0.6373, loss_cls: 3.8938, loss: 3.8938 +2024-01-02 08:23:52,047 - pyskl - INFO - Epoch [104][2700/3746] lr: 2.171e-02, eta: 1 day, 6:20:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3805, top5_acc: 0.6461, loss_cls: 3.8714, loss: 3.8714 +2024-01-02 08:24:51,370 - pyskl - INFO - Epoch [104][2800/3746] lr: 2.168e-02, eta: 1 day, 6:18:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3859, top5_acc: 0.6419, loss_cls: 3.8977, loss: 3.8977 +2024-01-02 08:25:50,676 - pyskl - INFO - Epoch [104][2900/3746] lr: 2.166e-02, eta: 1 day, 6:17:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3738, top5_acc: 0.6383, loss_cls: 3.9237, loss: 3.9237 +2024-01-02 08:26:50,047 - pyskl - INFO - Epoch [104][3000/3746] lr: 2.164e-02, eta: 1 day, 6:16:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3745, top5_acc: 0.6320, loss_cls: 3.9350, loss: 3.9350 +2024-01-02 08:27:49,333 - pyskl - INFO - Epoch [104][3100/3746] lr: 2.161e-02, eta: 1 day, 6:15:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3683, top5_acc: 0.6331, loss_cls: 3.9410, loss: 3.9410 +2024-01-02 08:28:48,903 - pyskl - INFO - Epoch [104][3200/3746] lr: 2.159e-02, eta: 1 day, 6:14:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3836, top5_acc: 0.6370, loss_cls: 3.8898, loss: 3.8898 +2024-01-02 08:29:49,591 - pyskl - INFO - Epoch [104][3300/3746] lr: 2.157e-02, eta: 1 day, 6:13:08, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3869, top5_acc: 0.6425, loss_cls: 3.8845, loss: 3.8845 +2024-01-02 08:30:49,424 - pyskl - INFO - Epoch [104][3400/3746] lr: 2.154e-02, eta: 1 day, 6:12:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3805, top5_acc: 0.6394, loss_cls: 3.8888, loss: 3.8888 +2024-01-02 08:31:49,175 - pyskl - INFO - Epoch [104][3500/3746] lr: 2.152e-02, eta: 1 day, 6:10:51, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3709, top5_acc: 0.6350, loss_cls: 3.9314, loss: 3.9314 +2024-01-02 08:32:49,337 - pyskl - INFO - Epoch [104][3600/3746] lr: 2.150e-02, eta: 1 day, 6:09:44, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3866, top5_acc: 0.6388, loss_cls: 3.8965, loss: 3.8965 +2024-01-02 08:33:49,665 - pyskl - INFO - Epoch [104][3700/3746] lr: 2.148e-02, eta: 1 day, 6:08:36, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3822, top5_acc: 0.6459, loss_cls: 3.9054, loss: 3.9054 +2024-01-02 08:34:20,596 - pyskl - INFO - Saving checkpoint at 104 epochs +2024-01-02 08:36:16,768 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 08:36:17,723 - pyskl - INFO - +top1_acc 0.3348 +top5_acc 0.5892 +2024-01-02 08:36:17,723 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 08:36:17,766 - pyskl - INFO - +mean_acc 0.3345 +2024-01-02 08:36:17,771 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_102.pth was removed +2024-01-02 08:36:18,004 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_104.pth. +2024-01-02 08:36:18,004 - pyskl - INFO - Best top1_acc is 0.3348 at 104 epoch. +2024-01-02 08:36:18,014 - pyskl - INFO - Epoch(val) [104][309] top1_acc: 0.3348, top5_acc: 0.5892, mean_class_accuracy: 0.3345 +2024-01-02 08:39:44,551 - pyskl - INFO - Epoch [105][100/3746] lr: 2.144e-02, eta: 1 day, 6:10:19, time: 2.065, data_time: 1.470, memory: 16177, top1_acc: 0.3984, top5_acc: 0.6505, loss_cls: 3.8344, loss: 3.8344 +2024-01-02 08:40:44,425 - pyskl - INFO - Epoch [105][200/3746] lr: 2.142e-02, eta: 1 day, 6:09:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3905, top5_acc: 0.6527, loss_cls: 3.8402, loss: 3.8402 +2024-01-02 08:41:44,776 - pyskl - INFO - Epoch [105][300/3746] lr: 2.140e-02, eta: 1 day, 6:08:03, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3858, top5_acc: 0.6469, loss_cls: 3.8290, loss: 3.8290 +2024-01-02 08:42:44,369 - pyskl - INFO - Epoch [105][400/3746] lr: 2.137e-02, eta: 1 day, 6:06:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3987, top5_acc: 0.6608, loss_cls: 3.8133, loss: 3.8133 +2024-01-02 08:43:43,763 - pyskl - INFO - Epoch [105][500/3746] lr: 2.135e-02, eta: 1 day, 6:05:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3947, top5_acc: 0.6578, loss_cls: 3.8234, loss: 3.8234 +2024-01-02 08:44:43,352 - pyskl - INFO - Epoch [105][600/3746] lr: 2.133e-02, eta: 1 day, 6:04:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3942, top5_acc: 0.6528, loss_cls: 3.8341, loss: 3.8341 +2024-01-02 08:45:43,064 - pyskl - INFO - Epoch [105][700/3746] lr: 2.130e-02, eta: 1 day, 6:03:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3866, top5_acc: 0.6509, loss_cls: 3.8203, loss: 3.8203 +2024-01-02 08:46:43,128 - pyskl - INFO - Epoch [105][800/3746] lr: 2.128e-02, eta: 1 day, 6:02:19, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3978, top5_acc: 0.6527, loss_cls: 3.8337, loss: 3.8337 +2024-01-02 08:47:43,529 - pyskl - INFO - Epoch [105][900/3746] lr: 2.126e-02, eta: 1 day, 6:01:12, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6562, loss_cls: 3.8044, loss: 3.8044 +2024-01-02 08:48:43,463 - pyskl - INFO - Epoch [105][1000/3746] lr: 2.124e-02, eta: 1 day, 6:00:03, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6433, loss_cls: 3.8735, loss: 3.8735 +2024-01-02 08:49:42,902 - pyskl - INFO - Epoch [105][1100/3746] lr: 2.121e-02, eta: 1 day, 5:58:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3833, top5_acc: 0.6400, loss_cls: 3.8942, loss: 3.8942 +2024-01-02 08:50:42,362 - pyskl - INFO - Epoch [105][1200/3746] lr: 2.119e-02, eta: 1 day, 5:57:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3909, top5_acc: 0.6500, loss_cls: 3.8560, loss: 3.8560 +2024-01-02 08:51:41,656 - pyskl - INFO - Epoch [105][1300/3746] lr: 2.117e-02, eta: 1 day, 5:56:36, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3798, top5_acc: 0.6411, loss_cls: 3.8867, loss: 3.8867 +2024-01-02 08:52:40,776 - pyskl - INFO - Epoch [105][1400/3746] lr: 2.114e-02, eta: 1 day, 5:55:26, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3955, top5_acc: 0.6514, loss_cls: 3.8485, loss: 3.8485 +2024-01-02 08:53:40,032 - pyskl - INFO - Epoch [105][1500/3746] lr: 2.112e-02, eta: 1 day, 5:54:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3867, top5_acc: 0.6430, loss_cls: 3.8822, loss: 3.8822 +2024-01-02 08:54:39,731 - pyskl - INFO - Epoch [105][1600/3746] lr: 2.110e-02, eta: 1 day, 5:53:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3866, top5_acc: 0.6402, loss_cls: 3.8830, loss: 3.8830 +2024-01-02 08:55:39,304 - pyskl - INFO - Epoch [105][1700/3746] lr: 2.108e-02, eta: 1 day, 5:52:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3859, top5_acc: 0.6506, loss_cls: 3.8521, loss: 3.8521 +2024-01-02 08:56:38,791 - pyskl - INFO - Epoch [105][1800/3746] lr: 2.105e-02, eta: 1 day, 5:50:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3803, top5_acc: 0.6389, loss_cls: 3.8929, loss: 3.8929 +2024-01-02 08:57:38,375 - pyskl - INFO - Epoch [105][1900/3746] lr: 2.103e-02, eta: 1 day, 5:49:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3875, top5_acc: 0.6462, loss_cls: 3.8672, loss: 3.8672 +2024-01-02 08:58:37,703 - pyskl - INFO - Epoch [105][2000/3746] lr: 2.101e-02, eta: 1 day, 5:48:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6580, loss_cls: 3.8120, loss: 3.8120 +2024-01-02 08:59:37,165 - pyskl - INFO - Epoch [105][2100/3746] lr: 2.098e-02, eta: 1 day, 5:47:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3762, top5_acc: 0.6308, loss_cls: 3.9066, loss: 3.9066 +2024-01-02 09:00:36,557 - pyskl - INFO - Epoch [105][2200/3746] lr: 2.096e-02, eta: 1 day, 5:46:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6402, loss_cls: 3.8905, loss: 3.8905 +2024-01-02 09:01:36,212 - pyskl - INFO - Epoch [105][2300/3746] lr: 2.094e-02, eta: 1 day, 5:45:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3820, top5_acc: 0.6497, loss_cls: 3.8775, loss: 3.8775 +2024-01-02 09:02:35,651 - pyskl - INFO - Epoch [105][2400/3746] lr: 2.092e-02, eta: 1 day, 5:43:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3886, top5_acc: 0.6433, loss_cls: 3.8553, loss: 3.8553 +2024-01-02 09:03:34,975 - pyskl - INFO - Epoch [105][2500/3746] lr: 2.089e-02, eta: 1 day, 5:42:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6500, loss_cls: 3.8717, loss: 3.8717 +2024-01-02 09:04:34,398 - pyskl - INFO - Epoch [105][2600/3746] lr: 2.087e-02, eta: 1 day, 5:41:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3822, top5_acc: 0.6338, loss_cls: 3.8984, loss: 3.8984 +2024-01-02 09:05:33,783 - pyskl - INFO - Epoch [105][2700/3746] lr: 2.085e-02, eta: 1 day, 5:40:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3894, top5_acc: 0.6483, loss_cls: 3.8647, loss: 3.8647 +2024-01-02 09:06:33,246 - pyskl - INFO - Epoch [105][2800/3746] lr: 2.083e-02, eta: 1 day, 5:39:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6595, loss_cls: 3.8112, loss: 3.8112 +2024-01-02 09:07:32,852 - pyskl - INFO - Epoch [105][2900/3746] lr: 2.080e-02, eta: 1 day, 5:38:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3972, top5_acc: 0.6559, loss_cls: 3.8356, loss: 3.8356 +2024-01-02 09:08:32,240 - pyskl - INFO - Epoch [105][3000/3746] lr: 2.078e-02, eta: 1 day, 5:37:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3977, top5_acc: 0.6473, loss_cls: 3.8375, loss: 3.8375 +2024-01-02 09:09:31,723 - pyskl - INFO - Epoch [105][3100/3746] lr: 2.076e-02, eta: 1 day, 5:35:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3862, top5_acc: 0.6473, loss_cls: 3.8474, loss: 3.8474 +2024-01-02 09:10:31,725 - pyskl - INFO - Epoch [105][3200/3746] lr: 2.073e-02, eta: 1 day, 5:34:49, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3839, top5_acc: 0.6381, loss_cls: 3.9059, loss: 3.9059 +2024-01-02 09:11:32,142 - pyskl - INFO - Epoch [105][3300/3746] lr: 2.071e-02, eta: 1 day, 5:33:42, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3894, top5_acc: 0.6520, loss_cls: 3.8444, loss: 3.8444 +2024-01-02 09:12:31,663 - pyskl - INFO - Epoch [105][3400/3746] lr: 2.069e-02, eta: 1 day, 5:32:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3941, top5_acc: 0.6505, loss_cls: 3.8759, loss: 3.8759 +2024-01-02 09:13:31,332 - pyskl - INFO - Epoch [105][3500/3746] lr: 2.067e-02, eta: 1 day, 5:31:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3825, top5_acc: 0.6419, loss_cls: 3.8962, loss: 3.8962 +2024-01-02 09:14:31,796 - pyskl - INFO - Epoch [105][3600/3746] lr: 2.064e-02, eta: 1 day, 5:30:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3859, top5_acc: 0.6506, loss_cls: 3.8693, loss: 3.8693 +2024-01-02 09:15:32,913 - pyskl - INFO - Epoch [105][3700/3746] lr: 2.062e-02, eta: 1 day, 5:29:12, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.3736, top5_acc: 0.6336, loss_cls: 3.9304, loss: 3.9304 +2024-01-02 09:16:03,551 - pyskl - INFO - Saving checkpoint at 105 epochs +2024-01-02 09:18:00,499 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 09:18:01,596 - pyskl - INFO - +top1_acc 0.3185 +top5_acc 0.5686 +2024-01-02 09:18:01,596 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 09:18:01,641 - pyskl - INFO - +mean_acc 0.3183 +2024-01-02 09:18:01,654 - pyskl - INFO - Epoch(val) [105][309] top1_acc: 0.3185, top5_acc: 0.5686, mean_class_accuracy: 0.3183 +2024-01-02 09:21:29,099 - pyskl - INFO - Epoch [106][100/3746] lr: 2.059e-02, eta: 1 day, 5:30:45, time: 2.074, data_time: 1.475, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6567, loss_cls: 3.8025, loss: 3.8025 +2024-01-02 09:22:28,578 - pyskl - INFO - Epoch [106][200/3746] lr: 2.057e-02, eta: 1 day, 5:29:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4042, top5_acc: 0.6603, loss_cls: 3.7606, loss: 3.7606 +2024-01-02 09:23:28,212 - pyskl - INFO - Epoch [106][300/3746] lr: 2.054e-02, eta: 1 day, 5:28:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3927, top5_acc: 0.6586, loss_cls: 3.7973, loss: 3.7973 +2024-01-02 09:24:27,959 - pyskl - INFO - Epoch [106][400/3746] lr: 2.052e-02, eta: 1 day, 5:27:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4069, top5_acc: 0.6680, loss_cls: 3.7530, loss: 3.7530 +2024-01-02 09:25:27,624 - pyskl - INFO - Epoch [106][500/3746] lr: 2.050e-02, eta: 1 day, 5:26:11, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3903, top5_acc: 0.6433, loss_cls: 3.8326, loss: 3.8326 +2024-01-02 09:26:26,972 - pyskl - INFO - Epoch [106][600/3746] lr: 2.048e-02, eta: 1 day, 5:25:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3934, top5_acc: 0.6595, loss_cls: 3.7939, loss: 3.7939 +2024-01-02 09:27:26,585 - pyskl - INFO - Epoch [106][700/3746] lr: 2.045e-02, eta: 1 day, 5:23:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3833, top5_acc: 0.6442, loss_cls: 3.8769, loss: 3.8769 +2024-01-02 09:28:26,214 - pyskl - INFO - Epoch [106][800/3746] lr: 2.043e-02, eta: 1 day, 5:22:45, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3956, top5_acc: 0.6480, loss_cls: 3.8471, loss: 3.8471 +2024-01-02 09:29:26,052 - pyskl - INFO - Epoch [106][900/3746] lr: 2.041e-02, eta: 1 day, 5:21:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3944, top5_acc: 0.6566, loss_cls: 3.8309, loss: 3.8309 +2024-01-02 09:30:26,174 - pyskl - INFO - Epoch [106][1000/3746] lr: 2.039e-02, eta: 1 day, 5:20:30, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4037, top5_acc: 0.6555, loss_cls: 3.8074, loss: 3.8074 +2024-01-02 09:31:25,709 - pyskl - INFO - Epoch [106][1100/3746] lr: 2.036e-02, eta: 1 day, 5:19:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3870, top5_acc: 0.6462, loss_cls: 3.8746, loss: 3.8746 +2024-01-02 09:32:25,354 - pyskl - INFO - Epoch [106][1200/3746] lr: 2.034e-02, eta: 1 day, 5:18:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3997, top5_acc: 0.6692, loss_cls: 3.7635, loss: 3.7635 +2024-01-02 09:33:24,615 - pyskl - INFO - Epoch [106][1300/3746] lr: 2.032e-02, eta: 1 day, 5:17:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3941, top5_acc: 0.6573, loss_cls: 3.7951, loss: 3.7951 +2024-01-02 09:34:23,601 - pyskl - INFO - Epoch [106][1400/3746] lr: 2.030e-02, eta: 1 day, 5:15:54, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3903, top5_acc: 0.6523, loss_cls: 3.8397, loss: 3.8397 +2024-01-02 09:35:22,797 - pyskl - INFO - Epoch [106][1500/3746] lr: 2.027e-02, eta: 1 day, 5:14:45, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3822, top5_acc: 0.6464, loss_cls: 3.8815, loss: 3.8815 +2024-01-02 09:36:21,983 - pyskl - INFO - Epoch [106][1600/3746] lr: 2.025e-02, eta: 1 day, 5:13:36, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3733, top5_acc: 0.6494, loss_cls: 3.8726, loss: 3.8726 +2024-01-02 09:37:21,303 - pyskl - INFO - Epoch [106][1700/3746] lr: 2.023e-02, eta: 1 day, 5:12:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6480, loss_cls: 3.8345, loss: 3.8345 +2024-01-02 09:38:20,632 - pyskl - INFO - Epoch [106][1800/3746] lr: 2.021e-02, eta: 1 day, 5:11:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4003, top5_acc: 0.6461, loss_cls: 3.8438, loss: 3.8438 +2024-01-02 09:39:19,879 - pyskl - INFO - Epoch [106][1900/3746] lr: 2.018e-02, eta: 1 day, 5:10:10, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3950, top5_acc: 0.6573, loss_cls: 3.8434, loss: 3.8434 +2024-01-02 09:40:19,542 - pyskl - INFO - Epoch [106][2000/3746] lr: 2.016e-02, eta: 1 day, 5:09:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3927, top5_acc: 0.6464, loss_cls: 3.8463, loss: 3.8463 +2024-01-02 09:41:19,267 - pyskl - INFO - Epoch [106][2100/3746] lr: 2.014e-02, eta: 1 day, 5:07:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3881, top5_acc: 0.6494, loss_cls: 3.8612, loss: 3.8612 +2024-01-02 09:42:18,390 - pyskl - INFO - Epoch [106][2200/3746] lr: 2.012e-02, eta: 1 day, 5:06:44, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3903, top5_acc: 0.6478, loss_cls: 3.8404, loss: 3.8404 +2024-01-02 09:43:17,788 - pyskl - INFO - Epoch [106][2300/3746] lr: 2.009e-02, eta: 1 day, 5:05:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3950, top5_acc: 0.6517, loss_cls: 3.8516, loss: 3.8516 +2024-01-02 09:44:18,512 - pyskl - INFO - Epoch [106][2400/3746] lr: 2.007e-02, eta: 1 day, 5:04:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6434, loss_cls: 3.8718, loss: 3.8718 +2024-01-02 09:45:18,904 - pyskl - INFO - Epoch [106][2500/3746] lr: 2.005e-02, eta: 1 day, 5:03:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3864, top5_acc: 0.6528, loss_cls: 3.8479, loss: 3.8479 +2024-01-02 09:46:19,181 - pyskl - INFO - Epoch [106][2600/3746] lr: 2.003e-02, eta: 1 day, 5:02:15, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3783, top5_acc: 0.6419, loss_cls: 3.9133, loss: 3.9133 +2024-01-02 09:47:19,567 - pyskl - INFO - Epoch [106][2700/3746] lr: 2.000e-02, eta: 1 day, 5:01:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3848, top5_acc: 0.6506, loss_cls: 3.8551, loss: 3.8551 +2024-01-02 09:48:19,253 - pyskl - INFO - Epoch [106][2800/3746] lr: 1.998e-02, eta: 1 day, 5:00:00, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3891, top5_acc: 0.6356, loss_cls: 3.8911, loss: 3.8911 +2024-01-02 09:49:19,475 - pyskl - INFO - Epoch [106][2900/3746] lr: 1.996e-02, eta: 1 day, 4:58:53, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3855, top5_acc: 0.6494, loss_cls: 3.8446, loss: 3.8446 +2024-01-02 09:50:18,902 - pyskl - INFO - Epoch [106][3000/3746] lr: 1.994e-02, eta: 1 day, 4:57:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3850, top5_acc: 0.6403, loss_cls: 3.8953, loss: 3.8953 +2024-01-02 09:51:18,077 - pyskl - INFO - Epoch [106][3100/3746] lr: 1.991e-02, eta: 1 day, 4:56:36, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3797, top5_acc: 0.6455, loss_cls: 3.8702, loss: 3.8702 +2024-01-02 09:52:18,129 - pyskl - INFO - Epoch [106][3200/3746] lr: 1.989e-02, eta: 1 day, 4:55:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3892, top5_acc: 0.6455, loss_cls: 3.8721, loss: 3.8721 +2024-01-02 09:53:18,408 - pyskl - INFO - Epoch [106][3300/3746] lr: 1.987e-02, eta: 1 day, 4:54:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3811, top5_acc: 0.6453, loss_cls: 3.8687, loss: 3.8687 +2024-01-02 09:54:18,353 - pyskl - INFO - Epoch [106][3400/3746] lr: 1.985e-02, eta: 1 day, 4:53:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3878, top5_acc: 0.6373, loss_cls: 3.8917, loss: 3.8917 +2024-01-02 09:55:17,890 - pyskl - INFO - Epoch [106][3500/3746] lr: 1.983e-02, eta: 1 day, 4:52:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3936, top5_acc: 0.6534, loss_cls: 3.8247, loss: 3.8247 +2024-01-02 09:56:17,475 - pyskl - INFO - Epoch [106][3600/3746] lr: 1.980e-02, eta: 1 day, 4:50:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3886, top5_acc: 0.6469, loss_cls: 3.8716, loss: 3.8716 +2024-01-02 09:57:18,243 - pyskl - INFO - Epoch [106][3700/3746] lr: 1.978e-02, eta: 1 day, 4:49:51, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.3805, top5_acc: 0.6450, loss_cls: 3.8825, loss: 3.8825 +2024-01-02 09:57:48,805 - pyskl - INFO - Saving checkpoint at 106 epochs +2024-01-02 09:59:44,911 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 09:59:46,018 - pyskl - INFO - +top1_acc 0.3368 +top5_acc 0.5901 +2024-01-02 09:59:46,018 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 09:59:46,060 - pyskl - INFO - +mean_acc 0.3366 +2024-01-02 09:59:46,067 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_104.pth was removed +2024-01-02 09:59:46,400 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_106.pth. +2024-01-02 09:59:46,400 - pyskl - INFO - Best top1_acc is 0.3368 at 106 epoch. +2024-01-02 09:59:46,409 - pyskl - INFO - Epoch(val) [106][309] top1_acc: 0.3368, top5_acc: 0.5901, mean_class_accuracy: 0.3366 +2024-01-02 10:03:10,021 - pyskl - INFO - Epoch [107][100/3746] lr: 1.975e-02, eta: 1 day, 4:51:08, time: 2.036, data_time: 1.444, memory: 16177, top1_acc: 0.4088, top5_acc: 0.6700, loss_cls: 3.7389, loss: 3.7389 +2024-01-02 10:04:09,171 - pyskl - INFO - Epoch [107][200/3746] lr: 1.973e-02, eta: 1 day, 4:49:59, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4050, top5_acc: 0.6713, loss_cls: 3.7502, loss: 3.7502 +2024-01-02 10:05:08,940 - pyskl - INFO - Epoch [107][300/3746] lr: 1.970e-02, eta: 1 day, 4:48:51, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3931, top5_acc: 0.6525, loss_cls: 3.8109, loss: 3.8109 +2024-01-02 10:06:08,466 - pyskl - INFO - Epoch [107][400/3746] lr: 1.968e-02, eta: 1 day, 4:47:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4030, top5_acc: 0.6567, loss_cls: 3.7739, loss: 3.7739 +2024-01-02 10:07:07,803 - pyskl - INFO - Epoch [107][500/3746] lr: 1.966e-02, eta: 1 day, 4:46:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3967, top5_acc: 0.6534, loss_cls: 3.8029, loss: 3.8029 +2024-01-02 10:08:07,177 - pyskl - INFO - Epoch [107][600/3746] lr: 1.964e-02, eta: 1 day, 4:45:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3991, top5_acc: 0.6566, loss_cls: 3.8245, loss: 3.8245 +2024-01-02 10:09:06,856 - pyskl - INFO - Epoch [107][700/3746] lr: 1.961e-02, eta: 1 day, 4:44:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4069, top5_acc: 0.6603, loss_cls: 3.7848, loss: 3.7848 +2024-01-02 10:10:06,465 - pyskl - INFO - Epoch [107][800/3746] lr: 1.959e-02, eta: 1 day, 4:43:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3880, top5_acc: 0.6578, loss_cls: 3.8184, loss: 3.8184 +2024-01-02 10:11:06,755 - pyskl - INFO - Epoch [107][900/3746] lr: 1.957e-02, eta: 1 day, 4:42:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3991, top5_acc: 0.6527, loss_cls: 3.8236, loss: 3.8236 +2024-01-02 10:12:06,606 - pyskl - INFO - Epoch [107][1000/3746] lr: 1.955e-02, eta: 1 day, 4:40:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4003, top5_acc: 0.6653, loss_cls: 3.7800, loss: 3.7800 +2024-01-02 10:13:06,268 - pyskl - INFO - Epoch [107][1100/3746] lr: 1.953e-02, eta: 1 day, 4:39:47, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6475, loss_cls: 3.8205, loss: 3.8205 +2024-01-02 10:14:05,595 - pyskl - INFO - Epoch [107][1200/3746] lr: 1.950e-02, eta: 1 day, 4:38:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3973, top5_acc: 0.6552, loss_cls: 3.8100, loss: 3.8100 +2024-01-02 10:15:05,027 - pyskl - INFO - Epoch [107][1300/3746] lr: 1.948e-02, eta: 1 day, 4:37:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6517, loss_cls: 3.8206, loss: 3.8206 +2024-01-02 10:16:04,000 - pyskl - INFO - Epoch [107][1400/3746] lr: 1.946e-02, eta: 1 day, 4:36:21, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3859, top5_acc: 0.6411, loss_cls: 3.8639, loss: 3.8639 +2024-01-02 10:17:03,089 - pyskl - INFO - Epoch [107][1500/3746] lr: 1.944e-02, eta: 1 day, 4:35:12, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4031, top5_acc: 0.6534, loss_cls: 3.8242, loss: 3.8242 +2024-01-02 10:18:02,284 - pyskl - INFO - Epoch [107][1600/3746] lr: 1.942e-02, eta: 1 day, 4:34:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3942, top5_acc: 0.6530, loss_cls: 3.8339, loss: 3.8339 +2024-01-02 10:19:01,509 - pyskl - INFO - Epoch [107][1700/3746] lr: 1.939e-02, eta: 1 day, 4:32:54, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3909, top5_acc: 0.6491, loss_cls: 3.8683, loss: 3.8683 +2024-01-02 10:20:00,661 - pyskl - INFO - Epoch [107][1800/3746] lr: 1.937e-02, eta: 1 day, 4:31:46, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3908, top5_acc: 0.6587, loss_cls: 3.8451, loss: 3.8451 +2024-01-02 10:21:00,000 - pyskl - INFO - Epoch [107][1900/3746] lr: 1.935e-02, eta: 1 day, 4:30:37, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3861, top5_acc: 0.6470, loss_cls: 3.8612, loss: 3.8612 +2024-01-02 10:21:59,358 - pyskl - INFO - Epoch [107][2000/3746] lr: 1.933e-02, eta: 1 day, 4:29:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3944, top5_acc: 0.6536, loss_cls: 3.8151, loss: 3.8151 +2024-01-02 10:22:58,544 - pyskl - INFO - Epoch [107][2100/3746] lr: 1.930e-02, eta: 1 day, 4:28:20, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4028, top5_acc: 0.6545, loss_cls: 3.8092, loss: 3.8092 +2024-01-02 10:23:57,832 - pyskl - INFO - Epoch [107][2200/3746] lr: 1.928e-02, eta: 1 day, 4:27:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3841, top5_acc: 0.6508, loss_cls: 3.8419, loss: 3.8419 +2024-01-02 10:24:57,367 - pyskl - INFO - Epoch [107][2300/3746] lr: 1.926e-02, eta: 1 day, 4:26:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3845, top5_acc: 0.6473, loss_cls: 3.8339, loss: 3.8339 +2024-01-02 10:25:56,733 - pyskl - INFO - Epoch [107][2400/3746] lr: 1.924e-02, eta: 1 day, 4:24:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3900, top5_acc: 0.6491, loss_cls: 3.8732, loss: 3.8732 +2024-01-02 10:26:56,297 - pyskl - INFO - Epoch [107][2500/3746] lr: 1.922e-02, eta: 1 day, 4:23:48, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3947, top5_acc: 0.6520, loss_cls: 3.8357, loss: 3.8357 +2024-01-02 10:27:56,011 - pyskl - INFO - Epoch [107][2600/3746] lr: 1.919e-02, eta: 1 day, 4:22:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3975, top5_acc: 0.6433, loss_cls: 3.8529, loss: 3.8529 +2024-01-02 10:28:55,177 - pyskl - INFO - Epoch [107][2700/3746] lr: 1.917e-02, eta: 1 day, 4:21:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3922, top5_acc: 0.6591, loss_cls: 3.8115, loss: 3.8115 +2024-01-02 10:29:54,551 - pyskl - INFO - Epoch [107][2800/3746] lr: 1.915e-02, eta: 1 day, 4:20:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3841, top5_acc: 0.6475, loss_cls: 3.8407, loss: 3.8407 +2024-01-02 10:30:54,016 - pyskl - INFO - Epoch [107][2900/3746] lr: 1.913e-02, eta: 1 day, 4:19:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3759, top5_acc: 0.6416, loss_cls: 3.8923, loss: 3.8923 +2024-01-02 10:31:53,034 - pyskl - INFO - Epoch [107][3000/3746] lr: 1.911e-02, eta: 1 day, 4:18:07, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.3995, top5_acc: 0.6566, loss_cls: 3.8233, loss: 3.8233 +2024-01-02 10:32:52,540 - pyskl - INFO - Epoch [107][3100/3746] lr: 1.908e-02, eta: 1 day, 4:16:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3919, top5_acc: 0.6466, loss_cls: 3.8642, loss: 3.8642 +2024-01-02 10:33:52,426 - pyskl - INFO - Epoch [107][3200/3746] lr: 1.906e-02, eta: 1 day, 4:15:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3939, top5_acc: 0.6591, loss_cls: 3.8151, loss: 3.8151 +2024-01-02 10:34:52,234 - pyskl - INFO - Epoch [107][3300/3746] lr: 1.904e-02, eta: 1 day, 4:14:44, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6459, loss_cls: 3.8268, loss: 3.8268 +2024-01-02 10:35:51,623 - pyskl - INFO - Epoch [107][3400/3746] lr: 1.902e-02, eta: 1 day, 4:13:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6611, loss_cls: 3.8140, loss: 3.8140 +2024-01-02 10:36:51,115 - pyskl - INFO - Epoch [107][3500/3746] lr: 1.900e-02, eta: 1 day, 4:12:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3975, top5_acc: 0.6455, loss_cls: 3.8554, loss: 3.8554 +2024-01-02 10:37:50,917 - pyskl - INFO - Epoch [107][3600/3746] lr: 1.897e-02, eta: 1 day, 4:11:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3933, top5_acc: 0.6494, loss_cls: 3.8557, loss: 3.8557 +2024-01-02 10:38:51,386 - pyskl - INFO - Epoch [107][3700/3746] lr: 1.895e-02, eta: 1 day, 4:10:14, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.3912, top5_acc: 0.6453, loss_cls: 3.8641, loss: 3.8641 +2024-01-02 10:39:21,609 - pyskl - INFO - Saving checkpoint at 107 epochs +2024-01-02 10:41:14,911 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 10:41:15,741 - pyskl - INFO - +top1_acc 0.3399 +top5_acc 0.5947 +2024-01-02 10:41:15,742 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 10:41:15,785 - pyskl - INFO - +mean_acc 0.3398 +2024-01-02 10:41:15,792 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_106.pth was removed +2024-01-02 10:41:16,066 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_107.pth. +2024-01-02 10:41:16,066 - pyskl - INFO - Best top1_acc is 0.3399 at 107 epoch. +2024-01-02 10:41:16,075 - pyskl - INFO - Epoch(val) [107][309] top1_acc: 0.3399, top5_acc: 0.5947, mean_class_accuracy: 0.3398 +2024-01-02 10:44:43,796 - pyskl - INFO - Epoch [108][100/3746] lr: 1.892e-02, eta: 1 day, 4:11:28, time: 2.077, data_time: 1.487, memory: 16177, top1_acc: 0.4062, top5_acc: 0.6684, loss_cls: 3.7653, loss: 3.7653 +2024-01-02 10:45:43,012 - pyskl - INFO - Epoch [108][200/3746] lr: 1.890e-02, eta: 1 day, 4:10:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4052, top5_acc: 0.6650, loss_cls: 3.7681, loss: 3.7681 +2024-01-02 10:46:42,524 - pyskl - INFO - Epoch [108][300/3746] lr: 1.888e-02, eta: 1 day, 4:09:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3945, top5_acc: 0.6602, loss_cls: 3.8072, loss: 3.8072 +2024-01-02 10:47:41,751 - pyskl - INFO - Epoch [108][400/3746] lr: 1.886e-02, eta: 1 day, 4:08:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3969, top5_acc: 0.6567, loss_cls: 3.7936, loss: 3.7936 +2024-01-02 10:48:41,314 - pyskl - INFO - Epoch [108][500/3746] lr: 1.883e-02, eta: 1 day, 4:06:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3966, top5_acc: 0.6598, loss_cls: 3.7863, loss: 3.7863 +2024-01-02 10:49:40,758 - pyskl - INFO - Epoch [108][600/3746] lr: 1.881e-02, eta: 1 day, 4:05:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4067, top5_acc: 0.6698, loss_cls: 3.7641, loss: 3.7641 +2024-01-02 10:50:40,480 - pyskl - INFO - Epoch [108][700/3746] lr: 1.879e-02, eta: 1 day, 4:04:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4077, top5_acc: 0.6664, loss_cls: 3.7761, loss: 3.7761 +2024-01-02 10:51:39,895 - pyskl - INFO - Epoch [108][800/3746] lr: 1.877e-02, eta: 1 day, 4:03:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4009, top5_acc: 0.6533, loss_cls: 3.8112, loss: 3.8112 +2024-01-02 10:52:39,758 - pyskl - INFO - Epoch [108][900/3746] lr: 1.875e-02, eta: 1 day, 4:02:23, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4061, top5_acc: 0.6650, loss_cls: 3.7382, loss: 3.7382 +2024-01-02 10:53:40,427 - pyskl - INFO - Epoch [108][1000/3746] lr: 1.872e-02, eta: 1 day, 4:01:17, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.3916, top5_acc: 0.6553, loss_cls: 3.8089, loss: 3.8089 +2024-01-02 10:54:40,528 - pyskl - INFO - Epoch [108][1100/3746] lr: 1.870e-02, eta: 1 day, 4:00:10, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6623, loss_cls: 3.7892, loss: 3.7892 +2024-01-02 10:55:40,273 - pyskl - INFO - Epoch [108][1200/3746] lr: 1.868e-02, eta: 1 day, 3:59:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3966, top5_acc: 0.6656, loss_cls: 3.7832, loss: 3.7832 +2024-01-02 10:56:39,646 - pyskl - INFO - Epoch [108][1300/3746] lr: 1.866e-02, eta: 1 day, 3:57:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3984, top5_acc: 0.6570, loss_cls: 3.7929, loss: 3.7929 +2024-01-02 10:57:39,521 - pyskl - INFO - Epoch [108][1400/3746] lr: 1.864e-02, eta: 1 day, 3:56:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6650, loss_cls: 3.7573, loss: 3.7573 +2024-01-02 10:58:39,294 - pyskl - INFO - Epoch [108][1500/3746] lr: 1.862e-02, eta: 1 day, 3:55:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3914, top5_acc: 0.6511, loss_cls: 3.8294, loss: 3.8294 +2024-01-02 10:59:38,868 - pyskl - INFO - Epoch [108][1600/3746] lr: 1.859e-02, eta: 1 day, 3:54:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3916, top5_acc: 0.6514, loss_cls: 3.8069, loss: 3.8069 +2024-01-02 11:00:38,545 - pyskl - INFO - Epoch [108][1700/3746] lr: 1.857e-02, eta: 1 day, 3:53:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3827, top5_acc: 0.6520, loss_cls: 3.8458, loss: 3.8458 +2024-01-02 11:01:37,951 - pyskl - INFO - Epoch [108][1800/3746] lr: 1.855e-02, eta: 1 day, 3:52:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4039, top5_acc: 0.6625, loss_cls: 3.7946, loss: 3.7946 +2024-01-02 11:02:37,321 - pyskl - INFO - Epoch [108][1900/3746] lr: 1.853e-02, eta: 1 day, 3:51:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3905, top5_acc: 0.6412, loss_cls: 3.8567, loss: 3.8567 +2024-01-02 11:03:36,875 - pyskl - INFO - Epoch [108][2000/3746] lr: 1.851e-02, eta: 1 day, 3:50:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4047, top5_acc: 0.6627, loss_cls: 3.7808, loss: 3.7808 +2024-01-02 11:04:36,487 - pyskl - INFO - Epoch [108][2100/3746] lr: 1.848e-02, eta: 1 day, 3:48:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3927, top5_acc: 0.6455, loss_cls: 3.8404, loss: 3.8404 +2024-01-02 11:05:36,070 - pyskl - INFO - Epoch [108][2200/3746] lr: 1.846e-02, eta: 1 day, 3:47:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3883, top5_acc: 0.6464, loss_cls: 3.8506, loss: 3.8506 +2024-01-02 11:06:35,658 - pyskl - INFO - Epoch [108][2300/3746] lr: 1.844e-02, eta: 1 day, 3:46:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3820, top5_acc: 0.6403, loss_cls: 3.8713, loss: 3.8713 +2024-01-02 11:07:35,070 - pyskl - INFO - Epoch [108][2400/3746] lr: 1.842e-02, eta: 1 day, 3:45:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3967, top5_acc: 0.6548, loss_cls: 3.8114, loss: 3.8114 +2024-01-02 11:08:34,302 - pyskl - INFO - Epoch [108][2500/3746] lr: 1.840e-02, eta: 1 day, 3:44:20, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4012, top5_acc: 0.6530, loss_cls: 3.8277, loss: 3.8277 +2024-01-02 11:09:33,633 - pyskl - INFO - Epoch [108][2600/3746] lr: 1.838e-02, eta: 1 day, 3:43:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3934, top5_acc: 0.6600, loss_cls: 3.8329, loss: 3.8329 +2024-01-02 11:10:33,165 - pyskl - INFO - Epoch [108][2700/3746] lr: 1.835e-02, eta: 1 day, 3:42:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6552, loss_cls: 3.8007, loss: 3.8007 +2024-01-02 11:11:32,927 - pyskl - INFO - Epoch [108][2800/3746] lr: 1.833e-02, eta: 1 day, 3:40:57, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6536, loss_cls: 3.7893, loss: 3.7893 +2024-01-02 11:12:32,743 - pyskl - INFO - Epoch [108][2900/3746] lr: 1.831e-02, eta: 1 day, 3:39:50, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3962, top5_acc: 0.6562, loss_cls: 3.8113, loss: 3.8113 +2024-01-02 11:13:31,986 - pyskl - INFO - Epoch [108][3000/3746] lr: 1.829e-02, eta: 1 day, 3:38:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4041, top5_acc: 0.6584, loss_cls: 3.7900, loss: 3.7900 +2024-01-02 11:14:31,868 - pyskl - INFO - Epoch [108][3100/3746] lr: 1.827e-02, eta: 1 day, 3:37:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.3944, top5_acc: 0.6500, loss_cls: 3.8310, loss: 3.8310 +2024-01-02 11:15:31,934 - pyskl - INFO - Epoch [108][3200/3746] lr: 1.825e-02, eta: 1 day, 3:36:28, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3994, top5_acc: 0.6552, loss_cls: 3.8314, loss: 3.8314 +2024-01-02 11:16:31,470 - pyskl - INFO - Epoch [108][3300/3746] lr: 1.823e-02, eta: 1 day, 3:35:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3937, top5_acc: 0.6606, loss_cls: 3.8085, loss: 3.8085 +2024-01-02 11:17:31,030 - pyskl - INFO - Epoch [108][3400/3746] lr: 1.820e-02, eta: 1 day, 3:34:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3961, top5_acc: 0.6578, loss_cls: 3.8357, loss: 3.8357 +2024-01-02 11:18:31,048 - pyskl - INFO - Epoch [108][3500/3746] lr: 1.818e-02, eta: 1 day, 3:33:06, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3989, top5_acc: 0.6453, loss_cls: 3.8375, loss: 3.8375 +2024-01-02 11:19:31,130 - pyskl - INFO - Epoch [108][3600/3746] lr: 1.816e-02, eta: 1 day, 3:31:59, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4000, top5_acc: 0.6527, loss_cls: 3.8193, loss: 3.8193 +2024-01-02 11:20:31,510 - pyskl - INFO - Epoch [108][3700/3746] lr: 1.814e-02, eta: 1 day, 3:30:53, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3884, top5_acc: 0.6458, loss_cls: 3.8671, loss: 3.8671 +2024-01-02 11:21:01,981 - pyskl - INFO - Saving checkpoint at 108 epochs +2024-01-02 11:22:57,953 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 11:22:59,023 - pyskl - INFO - +top1_acc 0.3448 +top5_acc 0.6020 +2024-01-02 11:22:59,023 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 11:22:59,070 - pyskl - INFO - +mean_acc 0.3445 +2024-01-02 11:22:59,077 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_107.pth was removed +2024-01-02 11:22:59,485 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_108.pth. +2024-01-02 11:22:59,485 - pyskl - INFO - Best top1_acc is 0.3448 at 108 epoch. +2024-01-02 11:22:59,527 - pyskl - INFO - Epoch(val) [108][309] top1_acc: 0.3448, top5_acc: 0.6020, mean_class_accuracy: 0.3445 +2024-01-02 11:26:21,778 - pyskl - INFO - Epoch [109][100/3746] lr: 1.811e-02, eta: 1 day, 3:31:50, time: 2.022, data_time: 1.428, memory: 16177, top1_acc: 0.4088, top5_acc: 0.6720, loss_cls: 3.7335, loss: 3.7335 +2024-01-02 11:27:21,508 - pyskl - INFO - Epoch [109][200/3746] lr: 1.809e-02, eta: 1 day, 3:30:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3984, top5_acc: 0.6617, loss_cls: 3.7717, loss: 3.7717 +2024-01-02 11:28:21,022 - pyskl - INFO - Epoch [109][300/3746] lr: 1.806e-02, eta: 1 day, 3:29:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4044, top5_acc: 0.6694, loss_cls: 3.7576, loss: 3.7576 +2024-01-02 11:29:20,627 - pyskl - INFO - Epoch [109][400/3746] lr: 1.804e-02, eta: 1 day, 3:28:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6791, loss_cls: 3.7172, loss: 3.7172 +2024-01-02 11:30:20,050 - pyskl - INFO - Epoch [109][500/3746] lr: 1.802e-02, eta: 1 day, 3:27:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6711, loss_cls: 3.7259, loss: 3.7259 +2024-01-02 11:31:19,450 - pyskl - INFO - Epoch [109][600/3746] lr: 1.800e-02, eta: 1 day, 3:26:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3970, top5_acc: 0.6553, loss_cls: 3.7899, loss: 3.7899 +2024-01-02 11:32:18,853 - pyskl - INFO - Epoch [109][700/3746] lr: 1.798e-02, eta: 1 day, 3:25:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4045, top5_acc: 0.6670, loss_cls: 3.7394, loss: 3.7394 +2024-01-02 11:33:18,358 - pyskl - INFO - Epoch [109][800/3746] lr: 1.796e-02, eta: 1 day, 3:23:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3928, top5_acc: 0.6620, loss_cls: 3.8060, loss: 3.8060 +2024-01-02 11:34:17,497 - pyskl - INFO - Epoch [109][900/3746] lr: 1.794e-02, eta: 1 day, 3:22:48, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3956, top5_acc: 0.6530, loss_cls: 3.8232, loss: 3.8232 +2024-01-02 11:35:17,686 - pyskl - INFO - Epoch [109][1000/3746] lr: 1.791e-02, eta: 1 day, 3:21:41, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4003, top5_acc: 0.6675, loss_cls: 3.7635, loss: 3.7635 +2024-01-02 11:36:17,969 - pyskl - INFO - Epoch [109][1100/3746] lr: 1.789e-02, eta: 1 day, 3:20:34, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4039, top5_acc: 0.6636, loss_cls: 3.7495, loss: 3.7495 +2024-01-02 11:37:17,363 - pyskl - INFO - Epoch [109][1200/3746] lr: 1.787e-02, eta: 1 day, 3:19:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4098, top5_acc: 0.6673, loss_cls: 3.7347, loss: 3.7347 +2024-01-02 11:38:16,425 - pyskl - INFO - Epoch [109][1300/3746] lr: 1.785e-02, eta: 1 day, 3:18:18, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.3939, top5_acc: 0.6536, loss_cls: 3.8127, loss: 3.8127 +2024-01-02 11:39:15,934 - pyskl - INFO - Epoch [109][1400/3746] lr: 1.783e-02, eta: 1 day, 3:17:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3977, top5_acc: 0.6627, loss_cls: 3.7862, loss: 3.7862 +2024-01-02 11:40:14,919 - pyskl - INFO - Epoch [109][1500/3746] lr: 1.781e-02, eta: 1 day, 3:16:02, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4009, top5_acc: 0.6508, loss_cls: 3.8209, loss: 3.8209 +2024-01-02 11:41:14,297 - pyskl - INFO - Epoch [109][1600/3746] lr: 1.779e-02, eta: 1 day, 3:14:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4034, top5_acc: 0.6633, loss_cls: 3.7764, loss: 3.7764 +2024-01-02 11:42:13,753 - pyskl - INFO - Epoch [109][1700/3746] lr: 1.776e-02, eta: 1 day, 3:13:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3972, top5_acc: 0.6580, loss_cls: 3.8184, loss: 3.8184 +2024-01-02 11:43:13,027 - pyskl - INFO - Epoch [109][1800/3746] lr: 1.774e-02, eta: 1 day, 3:12:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3973, top5_acc: 0.6559, loss_cls: 3.8085, loss: 3.8085 +2024-01-02 11:44:12,667 - pyskl - INFO - Epoch [109][1900/3746] lr: 1.772e-02, eta: 1 day, 3:11:31, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3978, top5_acc: 0.6544, loss_cls: 3.8123, loss: 3.8123 +2024-01-02 11:45:13,202 - pyskl - INFO - Epoch [109][2000/3746] lr: 1.770e-02, eta: 1 day, 3:10:25, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6573, loss_cls: 3.8040, loss: 3.8040 +2024-01-02 11:46:13,595 - pyskl - INFO - Epoch [109][2100/3746] lr: 1.768e-02, eta: 1 day, 3:09:19, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3994, top5_acc: 0.6608, loss_cls: 3.7823, loss: 3.7823 +2024-01-02 11:47:13,936 - pyskl - INFO - Epoch [109][2200/3746] lr: 1.766e-02, eta: 1 day, 3:08:12, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3975, top5_acc: 0.6538, loss_cls: 3.8098, loss: 3.8098 +2024-01-02 11:48:13,131 - pyskl - INFO - Epoch [109][2300/3746] lr: 1.764e-02, eta: 1 day, 3:07:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6659, loss_cls: 3.7906, loss: 3.7906 +2024-01-02 11:49:12,743 - pyskl - INFO - Epoch [109][2400/3746] lr: 1.761e-02, eta: 1 day, 3:05:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3884, top5_acc: 0.6447, loss_cls: 3.8622, loss: 3.8622 +2024-01-02 11:50:12,247 - pyskl - INFO - Epoch [109][2500/3746] lr: 1.759e-02, eta: 1 day, 3:04:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4097, top5_acc: 0.6641, loss_cls: 3.7355, loss: 3.7355 +2024-01-02 11:51:11,411 - pyskl - INFO - Epoch [109][2600/3746] lr: 1.757e-02, eta: 1 day, 3:03:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.3911, top5_acc: 0.6550, loss_cls: 3.8158, loss: 3.8158 +2024-01-02 11:52:10,838 - pyskl - INFO - Epoch [109][2700/3746] lr: 1.755e-02, eta: 1 day, 3:02:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3964, top5_acc: 0.6508, loss_cls: 3.8360, loss: 3.8360 +2024-01-02 11:53:10,323 - pyskl - INFO - Epoch [109][2800/3746] lr: 1.753e-02, eta: 1 day, 3:01:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4027, top5_acc: 0.6603, loss_cls: 3.7898, loss: 3.7898 +2024-01-02 11:54:09,849 - pyskl - INFO - Epoch [109][2900/3746] lr: 1.751e-02, eta: 1 day, 3:00:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4042, top5_acc: 0.6605, loss_cls: 3.7811, loss: 3.7811 +2024-01-02 11:55:10,101 - pyskl - INFO - Epoch [109][3000/3746] lr: 1.749e-02, eta: 1 day, 2:59:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.3984, top5_acc: 0.6620, loss_cls: 3.7919, loss: 3.7919 +2024-01-02 11:56:11,084 - pyskl - INFO - Epoch [109][3100/3746] lr: 1.747e-02, eta: 1 day, 2:58:07, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.3942, top5_acc: 0.6472, loss_cls: 3.8378, loss: 3.8378 +2024-01-02 11:57:11,382 - pyskl - INFO - Epoch [109][3200/3746] lr: 1.744e-02, eta: 1 day, 2:57:01, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4027, top5_acc: 0.6702, loss_cls: 3.7520, loss: 3.7520 +2024-01-02 11:58:10,861 - pyskl - INFO - Epoch [109][3300/3746] lr: 1.742e-02, eta: 1 day, 2:55:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3980, top5_acc: 0.6598, loss_cls: 3.8205, loss: 3.8205 +2024-01-02 11:59:10,349 - pyskl - INFO - Epoch [109][3400/3746] lr: 1.740e-02, eta: 1 day, 2:54:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6605, loss_cls: 3.7831, loss: 3.7831 +2024-01-02 12:00:10,395 - pyskl - INFO - Epoch [109][3500/3746] lr: 1.738e-02, eta: 1 day, 2:53:39, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4003, top5_acc: 0.6597, loss_cls: 3.7692, loss: 3.7692 +2024-01-02 12:01:10,533 - pyskl - INFO - Epoch [109][3600/3746] lr: 1.736e-02, eta: 1 day, 2:52:33, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.3923, top5_acc: 0.6436, loss_cls: 3.8695, loss: 3.8695 +2024-01-02 12:02:10,743 - pyskl - INFO - Epoch [109][3700/3746] lr: 1.734e-02, eta: 1 day, 2:51:27, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.3992, top5_acc: 0.6580, loss_cls: 3.8069, loss: 3.8069 +2024-01-02 12:02:40,757 - pyskl - INFO - Saving checkpoint at 109 epochs +2024-01-02 12:04:35,848 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 12:04:36,688 - pyskl - INFO - +top1_acc 0.3402 +top5_acc 0.5985 +2024-01-02 12:04:36,688 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 12:04:36,741 - pyskl - INFO - +mean_acc 0.3399 +2024-01-02 12:04:36,753 - pyskl - INFO - Epoch(val) [109][309] top1_acc: 0.3402, top5_acc: 0.5985, mean_class_accuracy: 0.3399 +2024-01-02 12:08:01,928 - pyskl - INFO - Epoch [110][100/3746] lr: 1.731e-02, eta: 1 day, 2:52:20, time: 2.052, data_time: 1.460, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6711, loss_cls: 3.7350, loss: 3.7350 +2024-01-02 12:09:01,027 - pyskl - INFO - Epoch [110][200/3746] lr: 1.729e-02, eta: 1 day, 2:51:11, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4216, top5_acc: 0.6778, loss_cls: 3.6980, loss: 3.6980 +2024-01-02 12:10:00,957 - pyskl - INFO - Epoch [110][300/3746] lr: 1.727e-02, eta: 1 day, 2:50:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4178, top5_acc: 0.6769, loss_cls: 3.7164, loss: 3.7164 +2024-01-02 12:11:00,679 - pyskl - INFO - Epoch [110][400/3746] lr: 1.724e-02, eta: 1 day, 2:48:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6680, loss_cls: 3.7304, loss: 3.7304 +2024-01-02 12:12:00,320 - pyskl - INFO - Epoch [110][500/3746] lr: 1.722e-02, eta: 1 day, 2:47:50, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4020, top5_acc: 0.6619, loss_cls: 3.7648, loss: 3.7648 +2024-01-02 12:12:59,824 - pyskl - INFO - Epoch [110][600/3746] lr: 1.720e-02, eta: 1 day, 2:46:42, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6684, loss_cls: 3.7638, loss: 3.7638 +2024-01-02 12:13:59,403 - pyskl - INFO - Epoch [110][700/3746] lr: 1.718e-02, eta: 1 day, 2:45:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.3989, top5_acc: 0.6711, loss_cls: 3.7578, loss: 3.7578 +2024-01-02 12:14:59,098 - pyskl - INFO - Epoch [110][800/3746] lr: 1.716e-02, eta: 1 day, 2:44:28, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4077, top5_acc: 0.6658, loss_cls: 3.7588, loss: 3.7588 +2024-01-02 12:15:59,006 - pyskl - INFO - Epoch [110][900/3746] lr: 1.714e-02, eta: 1 day, 2:43:21, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4064, top5_acc: 0.6653, loss_cls: 3.7862, loss: 3.7862 +2024-01-02 12:16:58,702 - pyskl - INFO - Epoch [110][1000/3746] lr: 1.712e-02, eta: 1 day, 2:42:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4056, top5_acc: 0.6661, loss_cls: 3.7602, loss: 3.7602 +2024-01-02 12:17:59,514 - pyskl - INFO - Epoch [110][1100/3746] lr: 1.710e-02, eta: 1 day, 2:41:08, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4000, top5_acc: 0.6573, loss_cls: 3.7920, loss: 3.7920 +2024-01-02 12:18:59,055 - pyskl - INFO - Epoch [110][1200/3746] lr: 1.708e-02, eta: 1 day, 2:40:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4048, top5_acc: 0.6655, loss_cls: 3.7587, loss: 3.7587 +2024-01-02 12:19:58,585 - pyskl - INFO - Epoch [110][1300/3746] lr: 1.705e-02, eta: 1 day, 2:38:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4036, top5_acc: 0.6597, loss_cls: 3.7456, loss: 3.7456 +2024-01-02 12:20:58,546 - pyskl - INFO - Epoch [110][1400/3746] lr: 1.703e-02, eta: 1 day, 2:37:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3970, top5_acc: 0.6595, loss_cls: 3.8072, loss: 3.8072 +2024-01-02 12:21:59,468 - pyskl - INFO - Epoch [110][1500/3746] lr: 1.701e-02, eta: 1 day, 2:36:41, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.4052, top5_acc: 0.6627, loss_cls: 3.7468, loss: 3.7468 +2024-01-02 12:22:59,001 - pyskl - INFO - Epoch [110][1600/3746] lr: 1.699e-02, eta: 1 day, 2:35:34, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3972, top5_acc: 0.6625, loss_cls: 3.7897, loss: 3.7897 +2024-01-02 12:23:58,397 - pyskl - INFO - Epoch [110][1700/3746] lr: 1.697e-02, eta: 1 day, 2:34:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3889, top5_acc: 0.6484, loss_cls: 3.8491, loss: 3.8491 +2024-01-02 12:24:58,118 - pyskl - INFO - Epoch [110][1800/3746] lr: 1.695e-02, eta: 1 day, 2:33:19, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3991, top5_acc: 0.6642, loss_cls: 3.7731, loss: 3.7731 +2024-01-02 12:25:57,950 - pyskl - INFO - Epoch [110][1900/3746] lr: 1.693e-02, eta: 1 day, 2:32:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4053, top5_acc: 0.6628, loss_cls: 3.7647, loss: 3.7647 +2024-01-02 12:26:57,899 - pyskl - INFO - Epoch [110][2000/3746] lr: 1.691e-02, eta: 1 day, 2:31:05, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4005, top5_acc: 0.6647, loss_cls: 3.7854, loss: 3.7854 +2024-01-02 12:27:57,655 - pyskl - INFO - Epoch [110][2100/3746] lr: 1.689e-02, eta: 1 day, 2:29:58, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4064, top5_acc: 0.6639, loss_cls: 3.7688, loss: 3.7688 +2024-01-02 12:28:57,273 - pyskl - INFO - Epoch [110][2200/3746] lr: 1.687e-02, eta: 1 day, 2:28:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4047, top5_acc: 0.6725, loss_cls: 3.7594, loss: 3.7594 +2024-01-02 12:29:56,758 - pyskl - INFO - Epoch [110][2300/3746] lr: 1.685e-02, eta: 1 day, 2:27:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6666, loss_cls: 3.7472, loss: 3.7472 +2024-01-02 12:30:56,354 - pyskl - INFO - Epoch [110][2400/3746] lr: 1.682e-02, eta: 1 day, 2:26:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4022, top5_acc: 0.6639, loss_cls: 3.7643, loss: 3.7643 +2024-01-02 12:31:56,056 - pyskl - INFO - Epoch [110][2500/3746] lr: 1.680e-02, eta: 1 day, 2:25:30, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4014, top5_acc: 0.6595, loss_cls: 3.7897, loss: 3.7897 +2024-01-02 12:32:55,393 - pyskl - INFO - Epoch [110][2600/3746] lr: 1.678e-02, eta: 1 day, 2:24:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.3978, top5_acc: 0.6595, loss_cls: 3.8054, loss: 3.8054 +2024-01-02 12:33:54,959 - pyskl - INFO - Epoch [110][2700/3746] lr: 1.676e-02, eta: 1 day, 2:23:15, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4045, top5_acc: 0.6675, loss_cls: 3.7700, loss: 3.7700 +2024-01-02 12:34:54,483 - pyskl - INFO - Epoch [110][2800/3746] lr: 1.674e-02, eta: 1 day, 2:22:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4106, top5_acc: 0.6630, loss_cls: 3.7711, loss: 3.7711 +2024-01-02 12:35:54,092 - pyskl - INFO - Epoch [110][2900/3746] lr: 1.672e-02, eta: 1 day, 2:21:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4055, top5_acc: 0.6566, loss_cls: 3.8067, loss: 3.8067 +2024-01-02 12:36:53,543 - pyskl - INFO - Epoch [110][3000/3746] lr: 1.670e-02, eta: 1 day, 2:19:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4094, top5_acc: 0.6714, loss_cls: 3.7546, loss: 3.7546 +2024-01-02 12:37:53,384 - pyskl - INFO - Epoch [110][3100/3746] lr: 1.668e-02, eta: 1 day, 2:18:47, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.3917, top5_acc: 0.6556, loss_cls: 3.8255, loss: 3.8255 +2024-01-02 12:38:53,395 - pyskl - INFO - Epoch [110][3200/3746] lr: 1.666e-02, eta: 1 day, 2:17:40, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4064, top5_acc: 0.6623, loss_cls: 3.7767, loss: 3.7767 +2024-01-02 12:39:52,720 - pyskl - INFO - Epoch [110][3300/3746] lr: 1.664e-02, eta: 1 day, 2:16:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4045, top5_acc: 0.6584, loss_cls: 3.7710, loss: 3.7710 +2024-01-02 12:40:52,130 - pyskl - INFO - Epoch [110][3400/3746] lr: 1.662e-02, eta: 1 day, 2:15:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.3945, top5_acc: 0.6553, loss_cls: 3.8113, loss: 3.8113 +2024-01-02 12:41:52,311 - pyskl - INFO - Epoch [110][3500/3746] lr: 1.659e-02, eta: 1 day, 2:14:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4028, top5_acc: 0.6625, loss_cls: 3.7745, loss: 3.7745 +2024-01-02 12:42:52,934 - pyskl - INFO - Epoch [110][3600/3746] lr: 1.657e-02, eta: 1 day, 2:13:14, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6648, loss_cls: 3.7719, loss: 3.7719 +2024-01-02 12:43:53,144 - pyskl - INFO - Epoch [110][3700/3746] lr: 1.655e-02, eta: 1 day, 2:12:08, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4022, top5_acc: 0.6595, loss_cls: 3.7824, loss: 3.7824 +2024-01-02 12:44:23,611 - pyskl - INFO - Saving checkpoint at 110 epochs +2024-01-02 12:46:18,076 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 12:46:18,869 - pyskl - INFO - +top1_acc 0.3478 +top5_acc 0.6059 +2024-01-02 12:46:18,869 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 12:46:18,905 - pyskl - INFO - +mean_acc 0.3476 +2024-01-02 12:46:18,911 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_108.pth was removed +2024-01-02 12:46:19,167 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_110.pth. +2024-01-02 12:46:19,167 - pyskl - INFO - Best top1_acc is 0.3478 at 110 epoch. +2024-01-02 12:46:19,175 - pyskl - INFO - Epoch(val) [110][309] top1_acc: 0.3478, top5_acc: 0.6059, mean_class_accuracy: 0.3476 +2024-01-02 12:49:37,393 - pyskl - INFO - Epoch [111][100/3746] lr: 1.652e-02, eta: 1 day, 2:12:44, time: 1.982, data_time: 1.391, memory: 16177, top1_acc: 0.4264, top5_acc: 0.6827, loss_cls: 3.6804, loss: 3.6804 +2024-01-02 12:50:36,498 - pyskl - INFO - Epoch [111][200/3746] lr: 1.650e-02, eta: 1 day, 2:11:37, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4119, top5_acc: 0.6731, loss_cls: 3.7260, loss: 3.7260 +2024-01-02 12:51:35,775 - pyskl - INFO - Epoch [111][300/3746] lr: 1.648e-02, eta: 1 day, 2:10:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4155, top5_acc: 0.6769, loss_cls: 3.7004, loss: 3.7004 +2024-01-02 12:52:35,136 - pyskl - INFO - Epoch [111][400/3746] lr: 1.646e-02, eta: 1 day, 2:09:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6611, loss_cls: 3.7449, loss: 3.7449 +2024-01-02 12:53:34,509 - pyskl - INFO - Epoch [111][500/3746] lr: 1.644e-02, eta: 1 day, 2:08:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4045, top5_acc: 0.6650, loss_cls: 3.7645, loss: 3.7645 +2024-01-02 12:54:34,826 - pyskl - INFO - Epoch [111][600/3746] lr: 1.642e-02, eta: 1 day, 2:07:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4188, top5_acc: 0.6666, loss_cls: 3.7239, loss: 3.7239 +2024-01-02 12:55:35,243 - pyskl - INFO - Epoch [111][700/3746] lr: 1.640e-02, eta: 1 day, 2:06:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4055, top5_acc: 0.6664, loss_cls: 3.7778, loss: 3.7778 +2024-01-02 12:56:35,186 - pyskl - INFO - Epoch [111][800/3746] lr: 1.638e-02, eta: 1 day, 2:04:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4141, top5_acc: 0.6683, loss_cls: 3.7386, loss: 3.7386 +2024-01-02 12:57:35,430 - pyskl - INFO - Epoch [111][900/3746] lr: 1.636e-02, eta: 1 day, 2:03:49, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4042, top5_acc: 0.6603, loss_cls: 3.7901, loss: 3.7901 +2024-01-02 12:58:35,383 - pyskl - INFO - Epoch [111][1000/3746] lr: 1.634e-02, eta: 1 day, 2:02:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3975, top5_acc: 0.6667, loss_cls: 3.7764, loss: 3.7764 +2024-01-02 12:59:35,572 - pyskl - INFO - Epoch [111][1100/3746] lr: 1.632e-02, eta: 1 day, 2:01:36, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4005, top5_acc: 0.6733, loss_cls: 3.7299, loss: 3.7299 +2024-01-02 13:00:36,201 - pyskl - INFO - Epoch [111][1200/3746] lr: 1.630e-02, eta: 1 day, 2:00:30, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4036, top5_acc: 0.6631, loss_cls: 3.7444, loss: 3.7444 +2024-01-02 13:01:35,796 - pyskl - INFO - Epoch [111][1300/3746] lr: 1.627e-02, eta: 1 day, 1:59:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4169, top5_acc: 0.6727, loss_cls: 3.7273, loss: 3.7273 +2024-01-02 13:02:35,659 - pyskl - INFO - Epoch [111][1400/3746] lr: 1.625e-02, eta: 1 day, 1:58:16, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4058, top5_acc: 0.6609, loss_cls: 3.7687, loss: 3.7687 +2024-01-02 13:03:35,568 - pyskl - INFO - Epoch [111][1500/3746] lr: 1.623e-02, eta: 1 day, 1:57:10, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4048, top5_acc: 0.6545, loss_cls: 3.7979, loss: 3.7979 +2024-01-02 13:04:35,568 - pyskl - INFO - Epoch [111][1600/3746] lr: 1.621e-02, eta: 1 day, 1:56:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4041, top5_acc: 0.6627, loss_cls: 3.7714, loss: 3.7714 +2024-01-02 13:05:35,534 - pyskl - INFO - Epoch [111][1700/3746] lr: 1.619e-02, eta: 1 day, 1:54:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4070, top5_acc: 0.6611, loss_cls: 3.7897, loss: 3.7897 +2024-01-02 13:06:35,019 - pyskl - INFO - Epoch [111][1800/3746] lr: 1.617e-02, eta: 1 day, 1:53:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3989, top5_acc: 0.6573, loss_cls: 3.8049, loss: 3.8049 +2024-01-02 13:07:34,204 - pyskl - INFO - Epoch [111][1900/3746] lr: 1.615e-02, eta: 1 day, 1:52:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4094, top5_acc: 0.6711, loss_cls: 3.7409, loss: 3.7409 +2024-01-02 13:08:33,542 - pyskl - INFO - Epoch [111][2000/3746] lr: 1.613e-02, eta: 1 day, 1:51:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4113, top5_acc: 0.6792, loss_cls: 3.7247, loss: 3.7247 +2024-01-02 13:09:33,181 - pyskl - INFO - Epoch [111][2100/3746] lr: 1.611e-02, eta: 1 day, 1:50:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4119, top5_acc: 0.6659, loss_cls: 3.7345, loss: 3.7345 +2024-01-02 13:10:32,706 - pyskl - INFO - Epoch [111][2200/3746] lr: 1.609e-02, eta: 1 day, 1:49:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4039, top5_acc: 0.6603, loss_cls: 3.7748, loss: 3.7748 +2024-01-02 13:11:32,193 - pyskl - INFO - Epoch [111][2300/3746] lr: 1.607e-02, eta: 1 day, 1:48:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4077, top5_acc: 0.6687, loss_cls: 3.7342, loss: 3.7342 +2024-01-02 13:12:32,470 - pyskl - INFO - Epoch [111][2400/3746] lr: 1.605e-02, eta: 1 day, 1:47:08, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4023, top5_acc: 0.6644, loss_cls: 3.7629, loss: 3.7629 +2024-01-02 13:13:32,278 - pyskl - INFO - Epoch [111][2500/3746] lr: 1.603e-02, eta: 1 day, 1:46:01, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6748, loss_cls: 3.7344, loss: 3.7344 +2024-01-02 13:14:31,775 - pyskl - INFO - Epoch [111][2600/3746] lr: 1.601e-02, eta: 1 day, 1:44:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4078, top5_acc: 0.6591, loss_cls: 3.7627, loss: 3.7627 +2024-01-02 13:15:31,315 - pyskl - INFO - Epoch [111][2700/3746] lr: 1.599e-02, eta: 1 day, 1:43:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3992, top5_acc: 0.6642, loss_cls: 3.7522, loss: 3.7522 +2024-01-02 13:16:30,505 - pyskl - INFO - Epoch [111][2800/3746] lr: 1.597e-02, eta: 1 day, 1:42:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4120, top5_acc: 0.6647, loss_cls: 3.7442, loss: 3.7442 +2024-01-02 13:17:30,076 - pyskl - INFO - Epoch [111][2900/3746] lr: 1.595e-02, eta: 1 day, 1:41:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4125, top5_acc: 0.6705, loss_cls: 3.7358, loss: 3.7358 +2024-01-02 13:18:29,354 - pyskl - INFO - Epoch [111][3000/3746] lr: 1.593e-02, eta: 1 day, 1:40:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4080, top5_acc: 0.6672, loss_cls: 3.7312, loss: 3.7312 +2024-01-02 13:19:29,633 - pyskl - INFO - Epoch [111][3100/3746] lr: 1.590e-02, eta: 1 day, 1:39:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4003, top5_acc: 0.6589, loss_cls: 3.7918, loss: 3.7918 +2024-01-02 13:20:30,016 - pyskl - INFO - Epoch [111][3200/3746] lr: 1.588e-02, eta: 1 day, 1:38:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.3969, top5_acc: 0.6677, loss_cls: 3.7883, loss: 3.7883 +2024-01-02 13:21:29,645 - pyskl - INFO - Epoch [111][3300/3746] lr: 1.586e-02, eta: 1 day, 1:37:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4122, top5_acc: 0.6728, loss_cls: 3.7475, loss: 3.7475 +2024-01-02 13:22:28,861 - pyskl - INFO - Epoch [111][3400/3746] lr: 1.584e-02, eta: 1 day, 1:36:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4078, top5_acc: 0.6681, loss_cls: 3.7460, loss: 3.7460 +2024-01-02 13:23:28,813 - pyskl - INFO - Epoch [111][3500/3746] lr: 1.582e-02, eta: 1 day, 1:34:54, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3981, top5_acc: 0.6580, loss_cls: 3.7845, loss: 3.7845 +2024-01-02 13:24:28,775 - pyskl - INFO - Epoch [111][3600/3746] lr: 1.580e-02, eta: 1 day, 1:33:47, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.3970, top5_acc: 0.6595, loss_cls: 3.7799, loss: 3.7799 +2024-01-02 13:25:29,287 - pyskl - INFO - Epoch [111][3700/3746] lr: 1.578e-02, eta: 1 day, 1:32:42, time: 0.605, data_time: 0.001, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6739, loss_cls: 3.7413, loss: 3.7413 +2024-01-02 13:25:59,231 - pyskl - INFO - Saving checkpoint at 111 epochs +2024-01-02 13:27:54,062 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 13:27:54,844 - pyskl - INFO - +top1_acc 0.3447 +top5_acc 0.6006 +2024-01-02 13:27:54,845 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 13:27:54,876 - pyskl - INFO - +mean_acc 0.3445 +2024-01-02 13:27:54,883 - pyskl - INFO - Epoch(val) [111][309] top1_acc: 0.3447, top5_acc: 0.6006, mean_class_accuracy: 0.3445 +2024-01-02 13:31:17,629 - pyskl - INFO - Epoch [112][100/3746] lr: 1.575e-02, eta: 1 day, 1:33:17, time: 2.027, data_time: 1.435, memory: 16177, top1_acc: 0.4208, top5_acc: 0.6873, loss_cls: 3.6644, loss: 3.6644 +2024-01-02 13:32:17,034 - pyskl - INFO - Epoch [112][200/3746] lr: 1.573e-02, eta: 1 day, 1:32:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4225, top5_acc: 0.6786, loss_cls: 3.6918, loss: 3.6918 +2024-01-02 13:33:16,368 - pyskl - INFO - Epoch [112][300/3746] lr: 1.571e-02, eta: 1 day, 1:31:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4233, top5_acc: 0.6833, loss_cls: 3.6656, loss: 3.6656 +2024-01-02 13:34:15,938 - pyskl - INFO - Epoch [112][400/3746] lr: 1.569e-02, eta: 1 day, 1:29:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4172, top5_acc: 0.6748, loss_cls: 3.7170, loss: 3.7170 +2024-01-02 13:35:15,265 - pyskl - INFO - Epoch [112][500/3746] lr: 1.567e-02, eta: 1 day, 1:28:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4164, top5_acc: 0.6752, loss_cls: 3.7029, loss: 3.7029 +2024-01-02 13:36:14,446 - pyskl - INFO - Epoch [112][600/3746] lr: 1.565e-02, eta: 1 day, 1:27:41, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4106, top5_acc: 0.6697, loss_cls: 3.7332, loss: 3.7332 +2024-01-02 13:37:13,760 - pyskl - INFO - Epoch [112][700/3746] lr: 1.563e-02, eta: 1 day, 1:26:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6714, loss_cls: 3.7259, loss: 3.7259 +2024-01-02 13:38:13,021 - pyskl - INFO - Epoch [112][800/3746] lr: 1.561e-02, eta: 1 day, 1:25:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4141, top5_acc: 0.6678, loss_cls: 3.7431, loss: 3.7431 +2024-01-02 13:39:12,762 - pyskl - INFO - Epoch [112][900/3746] lr: 1.559e-02, eta: 1 day, 1:24:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.3920, top5_acc: 0.6586, loss_cls: 3.7745, loss: 3.7745 +2024-01-02 13:40:12,092 - pyskl - INFO - Epoch [112][1000/3746] lr: 1.557e-02, eta: 1 day, 1:23:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4172, top5_acc: 0.6766, loss_cls: 3.7110, loss: 3.7110 +2024-01-02 13:41:11,817 - pyskl - INFO - Epoch [112][1100/3746] lr: 1.555e-02, eta: 1 day, 1:22:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4219, top5_acc: 0.6719, loss_cls: 3.7124, loss: 3.7124 +2024-01-02 13:42:12,502 - pyskl - INFO - Epoch [112][1200/3746] lr: 1.553e-02, eta: 1 day, 1:21:00, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4102, top5_acc: 0.6705, loss_cls: 3.7207, loss: 3.7207 +2024-01-02 13:43:12,199 - pyskl - INFO - Epoch [112][1300/3746] lr: 1.551e-02, eta: 1 day, 1:19:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4091, top5_acc: 0.6705, loss_cls: 3.7131, loss: 3.7131 +2024-01-02 13:44:11,699 - pyskl - INFO - Epoch [112][1400/3746] lr: 1.549e-02, eta: 1 day, 1:18:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4178, top5_acc: 0.6755, loss_cls: 3.7165, loss: 3.7165 +2024-01-02 13:45:11,521 - pyskl - INFO - Epoch [112][1500/3746] lr: 1.547e-02, eta: 1 day, 1:17:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4048, top5_acc: 0.6656, loss_cls: 3.7450, loss: 3.7450 +2024-01-02 13:46:10,837 - pyskl - INFO - Epoch [112][1600/3746] lr: 1.545e-02, eta: 1 day, 1:16:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4091, top5_acc: 0.6745, loss_cls: 3.7306, loss: 3.7306 +2024-01-02 13:47:10,544 - pyskl - INFO - Epoch [112][1700/3746] lr: 1.543e-02, eta: 1 day, 1:15:27, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4095, top5_acc: 0.6711, loss_cls: 3.7158, loss: 3.7158 +2024-01-02 13:48:09,806 - pyskl - INFO - Epoch [112][1800/3746] lr: 1.541e-02, eta: 1 day, 1:14:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4078, top5_acc: 0.6705, loss_cls: 3.7207, loss: 3.7207 +2024-01-02 13:49:09,005 - pyskl - INFO - Epoch [112][1900/3746] lr: 1.539e-02, eta: 1 day, 1:13:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4138, top5_acc: 0.6631, loss_cls: 3.7249, loss: 3.7249 +2024-01-02 13:50:08,222 - pyskl - INFO - Epoch [112][2000/3746] lr: 1.537e-02, eta: 1 day, 1:12:05, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4211, top5_acc: 0.6694, loss_cls: 3.7023, loss: 3.7023 +2024-01-02 13:51:07,509 - pyskl - INFO - Epoch [112][2100/3746] lr: 1.535e-02, eta: 1 day, 1:10:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6808, loss_cls: 3.6980, loss: 3.6980 +2024-01-02 13:52:07,019 - pyskl - INFO - Epoch [112][2200/3746] lr: 1.533e-02, eta: 1 day, 1:09:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4119, top5_acc: 0.6692, loss_cls: 3.7297, loss: 3.7297 +2024-01-02 13:53:06,439 - pyskl - INFO - Epoch [112][2300/3746] lr: 1.531e-02, eta: 1 day, 1:08:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4034, top5_acc: 0.6752, loss_cls: 3.7266, loss: 3.7266 +2024-01-02 13:54:05,524 - pyskl - INFO - Epoch [112][2400/3746] lr: 1.529e-02, eta: 1 day, 1:07:37, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4055, top5_acc: 0.6614, loss_cls: 3.7836, loss: 3.7836 +2024-01-02 13:55:04,607 - pyskl - INFO - Epoch [112][2500/3746] lr: 1.527e-02, eta: 1 day, 1:06:30, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4017, top5_acc: 0.6798, loss_cls: 3.7475, loss: 3.7475 +2024-01-02 13:56:03,673 - pyskl - INFO - Epoch [112][2600/3746] lr: 1.525e-02, eta: 1 day, 1:05:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4150, top5_acc: 0.6583, loss_cls: 3.7925, loss: 3.7925 +2024-01-02 13:57:03,029 - pyskl - INFO - Epoch [112][2700/3746] lr: 1.523e-02, eta: 1 day, 1:04:16, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4108, top5_acc: 0.6667, loss_cls: 3.7524, loss: 3.7524 +2024-01-02 13:58:02,440 - pyskl - INFO - Epoch [112][2800/3746] lr: 1.521e-02, eta: 1 day, 1:03:09, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4062, top5_acc: 0.6728, loss_cls: 3.7443, loss: 3.7443 +2024-01-02 13:59:01,667 - pyskl - INFO - Epoch [112][2900/3746] lr: 1.519e-02, eta: 1 day, 1:02:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4069, top5_acc: 0.6637, loss_cls: 3.7576, loss: 3.7576 +2024-01-02 14:00:01,236 - pyskl - INFO - Epoch [112][3000/3746] lr: 1.517e-02, eta: 1 day, 1:00:55, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4020, top5_acc: 0.6603, loss_cls: 3.7868, loss: 3.7868 +2024-01-02 14:01:01,543 - pyskl - INFO - Epoch [112][3100/3746] lr: 1.515e-02, eta: 1 day, 0:59:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4109, top5_acc: 0.6631, loss_cls: 3.7757, loss: 3.7757 +2024-01-02 14:02:01,446 - pyskl - INFO - Epoch [112][3200/3746] lr: 1.513e-02, eta: 1 day, 0:58:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6691, loss_cls: 3.7541, loss: 3.7541 +2024-01-02 14:03:00,540 - pyskl - INFO - Epoch [112][3300/3746] lr: 1.511e-02, eta: 1 day, 0:57:36, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4056, top5_acc: 0.6653, loss_cls: 3.7589, loss: 3.7589 +2024-01-02 14:04:00,307 - pyskl - INFO - Epoch [112][3400/3746] lr: 1.509e-02, eta: 1 day, 0:56:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4070, top5_acc: 0.6664, loss_cls: 3.7466, loss: 3.7466 +2024-01-02 14:05:00,239 - pyskl - INFO - Epoch [112][3500/3746] lr: 1.507e-02, eta: 1 day, 0:55:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4072, top5_acc: 0.6713, loss_cls: 3.7177, loss: 3.7177 +2024-01-02 14:06:00,195 - pyskl - INFO - Epoch [112][3600/3746] lr: 1.505e-02, eta: 1 day, 0:54:17, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4141, top5_acc: 0.6678, loss_cls: 3.7335, loss: 3.7335 +2024-01-02 14:07:00,428 - pyskl - INFO - Epoch [112][3700/3746] lr: 1.503e-02, eta: 1 day, 0:53:12, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4120, top5_acc: 0.6700, loss_cls: 3.7531, loss: 3.7531 +2024-01-02 14:07:30,674 - pyskl - INFO - Saving checkpoint at 112 epochs +2024-01-02 14:09:24,130 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 14:09:25,203 - pyskl - INFO - +top1_acc 0.3578 +top5_acc 0.6113 +2024-01-02 14:09:25,204 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 14:09:25,245 - pyskl - INFO - +mean_acc 0.3574 +2024-01-02 14:09:25,251 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_110.pth was removed +2024-01-02 14:09:25,574 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_112.pth. +2024-01-02 14:09:25,575 - pyskl - INFO - Best top1_acc is 0.3578 at 112 epoch. +2024-01-02 14:09:25,583 - pyskl - INFO - Epoch(val) [112][309] top1_acc: 0.3578, top5_acc: 0.6113, mean_class_accuracy: 0.3574 +2024-01-02 14:12:42,559 - pyskl - INFO - Epoch [113][100/3746] lr: 1.500e-02, eta: 1 day, 0:53:34, time: 1.970, data_time: 1.377, memory: 16177, top1_acc: 0.4267, top5_acc: 0.6845, loss_cls: 3.6499, loss: 3.6499 +2024-01-02 14:13:41,844 - pyskl - INFO - Epoch [113][200/3746] lr: 1.498e-02, eta: 1 day, 0:52:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4305, top5_acc: 0.6837, loss_cls: 3.6746, loss: 3.6746 +2024-01-02 14:14:41,305 - pyskl - INFO - Epoch [113][300/3746] lr: 1.496e-02, eta: 1 day, 0:51:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4250, top5_acc: 0.6839, loss_cls: 3.6565, loss: 3.6565 +2024-01-02 14:15:40,465 - pyskl - INFO - Epoch [113][400/3746] lr: 1.494e-02, eta: 1 day, 0:50:13, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4236, top5_acc: 0.6827, loss_cls: 3.6625, loss: 3.6625 +2024-01-02 14:16:39,819 - pyskl - INFO - Epoch [113][500/3746] lr: 1.492e-02, eta: 1 day, 0:49:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4083, top5_acc: 0.6733, loss_cls: 3.7387, loss: 3.7387 +2024-01-02 14:17:39,383 - pyskl - INFO - Epoch [113][600/3746] lr: 1.490e-02, eta: 1 day, 0:47:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4161, top5_acc: 0.6758, loss_cls: 3.6937, loss: 3.6937 +2024-01-02 14:18:38,994 - pyskl - INFO - Epoch [113][700/3746] lr: 1.488e-02, eta: 1 day, 0:46:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4169, top5_acc: 0.6787, loss_cls: 3.6943, loss: 3.6943 +2024-01-02 14:19:38,464 - pyskl - INFO - Epoch [113][800/3746] lr: 1.486e-02, eta: 1 day, 0:45:46, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4180, top5_acc: 0.6794, loss_cls: 3.6700, loss: 3.6700 +2024-01-02 14:20:37,966 - pyskl - INFO - Epoch [113][900/3746] lr: 1.484e-02, eta: 1 day, 0:44:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4155, top5_acc: 0.6798, loss_cls: 3.6833, loss: 3.6833 +2024-01-02 14:21:37,415 - pyskl - INFO - Epoch [113][1000/3746] lr: 1.482e-02, eta: 1 day, 0:43:32, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4192, top5_acc: 0.6836, loss_cls: 3.6907, loss: 3.6907 +2024-01-02 14:22:37,289 - pyskl - INFO - Epoch [113][1100/3746] lr: 1.480e-02, eta: 1 day, 0:42:26, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4220, top5_acc: 0.6789, loss_cls: 3.6801, loss: 3.6801 +2024-01-02 14:23:37,552 - pyskl - INFO - Epoch [113][1200/3746] lr: 1.478e-02, eta: 1 day, 0:41:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4062, top5_acc: 0.6666, loss_cls: 3.7478, loss: 3.7478 +2024-01-02 14:24:37,391 - pyskl - INFO - Epoch [113][1300/3746] lr: 1.476e-02, eta: 1 day, 0:40:14, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4145, top5_acc: 0.6675, loss_cls: 3.7323, loss: 3.7323 +2024-01-02 14:25:36,771 - pyskl - INFO - Epoch [113][1400/3746] lr: 1.474e-02, eta: 1 day, 0:39:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4206, top5_acc: 0.6709, loss_cls: 3.6993, loss: 3.6993 +2024-01-02 14:26:36,179 - pyskl - INFO - Epoch [113][1500/3746] lr: 1.472e-02, eta: 1 day, 0:38:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4070, top5_acc: 0.6703, loss_cls: 3.7314, loss: 3.7314 +2024-01-02 14:27:36,082 - pyskl - INFO - Epoch [113][1600/3746] lr: 1.470e-02, eta: 1 day, 0:36:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4227, top5_acc: 0.6764, loss_cls: 3.6935, loss: 3.6935 +2024-01-02 14:28:35,541 - pyskl - INFO - Epoch [113][1700/3746] lr: 1.468e-02, eta: 1 day, 0:35:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4103, top5_acc: 0.6737, loss_cls: 3.7272, loss: 3.7272 +2024-01-02 14:29:35,108 - pyskl - INFO - Epoch [113][1800/3746] lr: 1.466e-02, eta: 1 day, 0:34:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4150, top5_acc: 0.6691, loss_cls: 3.7195, loss: 3.7195 +2024-01-02 14:30:35,063 - pyskl - INFO - Epoch [113][1900/3746] lr: 1.464e-02, eta: 1 day, 0:33:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4209, top5_acc: 0.6802, loss_cls: 3.6873, loss: 3.6873 +2024-01-02 14:31:34,658 - pyskl - INFO - Epoch [113][2000/3746] lr: 1.462e-02, eta: 1 day, 0:32:28, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4194, top5_acc: 0.6814, loss_cls: 3.6852, loss: 3.6852 +2024-01-02 14:32:34,066 - pyskl - INFO - Epoch [113][2100/3746] lr: 1.460e-02, eta: 1 day, 0:31:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4230, top5_acc: 0.6747, loss_cls: 3.7002, loss: 3.7002 +2024-01-02 14:33:33,519 - pyskl - INFO - Epoch [113][2200/3746] lr: 1.458e-02, eta: 1 day, 0:30:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.3995, top5_acc: 0.6606, loss_cls: 3.7885, loss: 3.7885 +2024-01-02 14:34:33,175 - pyskl - INFO - Epoch [113][2300/3746] lr: 1.456e-02, eta: 1 day, 0:29:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4058, top5_acc: 0.6605, loss_cls: 3.7658, loss: 3.7658 +2024-01-02 14:35:32,702 - pyskl - INFO - Epoch [113][2400/3746] lr: 1.454e-02, eta: 1 day, 0:28:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4136, top5_acc: 0.6727, loss_cls: 3.7289, loss: 3.7289 +2024-01-02 14:36:32,119 - pyskl - INFO - Epoch [113][2500/3746] lr: 1.452e-02, eta: 1 day, 0:26:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4106, top5_acc: 0.6742, loss_cls: 3.7490, loss: 3.7490 +2024-01-02 14:37:31,806 - pyskl - INFO - Epoch [113][2600/3746] lr: 1.450e-02, eta: 1 day, 0:25:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4092, top5_acc: 0.6745, loss_cls: 3.7220, loss: 3.7220 +2024-01-02 14:38:31,615 - pyskl - INFO - Epoch [113][2700/3746] lr: 1.448e-02, eta: 1 day, 0:24:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4253, top5_acc: 0.6836, loss_cls: 3.6801, loss: 3.6801 +2024-01-02 14:39:31,457 - pyskl - INFO - Epoch [113][2800/3746] lr: 1.446e-02, eta: 1 day, 0:23:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4098, top5_acc: 0.6658, loss_cls: 3.7489, loss: 3.7489 +2024-01-02 14:40:30,895 - pyskl - INFO - Epoch [113][2900/3746] lr: 1.444e-02, eta: 1 day, 0:22:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4159, top5_acc: 0.6753, loss_cls: 3.7089, loss: 3.7089 +2024-01-02 14:41:30,818 - pyskl - INFO - Epoch [113][3000/3746] lr: 1.442e-02, eta: 1 day, 0:21:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4066, top5_acc: 0.6664, loss_cls: 3.7576, loss: 3.7576 +2024-01-02 14:42:30,988 - pyskl - INFO - Epoch [113][3100/3746] lr: 1.440e-02, eta: 1 day, 0:20:18, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4072, top5_acc: 0.6652, loss_cls: 3.7472, loss: 3.7472 +2024-01-02 14:43:31,078 - pyskl - INFO - Epoch [113][3200/3746] lr: 1.438e-02, eta: 1 day, 0:19:12, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4139, top5_acc: 0.6716, loss_cls: 3.7249, loss: 3.7249 +2024-01-02 14:44:30,676 - pyskl - INFO - Epoch [113][3300/3746] lr: 1.436e-02, eta: 1 day, 0:18:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4272, top5_acc: 0.6758, loss_cls: 3.7133, loss: 3.7133 +2024-01-02 14:45:30,590 - pyskl - INFO - Epoch [113][3400/3746] lr: 1.434e-02, eta: 1 day, 0:17:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4164, top5_acc: 0.6755, loss_cls: 3.6996, loss: 3.6996 +2024-01-02 14:46:30,437 - pyskl - INFO - Epoch [113][3500/3746] lr: 1.432e-02, eta: 1 day, 0:15:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4102, top5_acc: 0.6711, loss_cls: 3.7325, loss: 3.7325 +2024-01-02 14:47:30,750 - pyskl - INFO - Epoch [113][3600/3746] lr: 1.431e-02, eta: 1 day, 0:14:48, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4047, top5_acc: 0.6689, loss_cls: 3.7340, loss: 3.7340 +2024-01-02 14:48:31,487 - pyskl - INFO - Epoch [113][3700/3746] lr: 1.429e-02, eta: 1 day, 0:13:43, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4167, top5_acc: 0.6747, loss_cls: 3.7211, loss: 3.7211 +2024-01-02 14:49:01,589 - pyskl - INFO - Saving checkpoint at 113 epochs +2024-01-02 14:51:00,276 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 14:51:01,079 - pyskl - INFO - +top1_acc 0.3630 +top5_acc 0.6144 +2024-01-02 14:51:01,079 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 14:51:01,113 - pyskl - INFO - +mean_acc 0.3625 +2024-01-02 14:51:01,118 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_112.pth was removed +2024-01-02 14:51:01,386 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_113.pth. +2024-01-02 14:51:01,386 - pyskl - INFO - Best top1_acc is 0.3630 at 113 epoch. +2024-01-02 14:51:01,398 - pyskl - INFO - Epoch(val) [113][309] top1_acc: 0.3630, top5_acc: 0.6144, mean_class_accuracy: 0.3625 +2024-01-02 14:54:22,921 - pyskl - INFO - Epoch [114][100/3746] lr: 1.426e-02, eta: 1 day, 0:14:04, time: 2.015, data_time: 1.420, memory: 16177, top1_acc: 0.4280, top5_acc: 0.6869, loss_cls: 3.6400, loss: 3.6400 +2024-01-02 14:55:22,485 - pyskl - INFO - Epoch [114][200/3746] lr: 1.424e-02, eta: 1 day, 0:12:57, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4352, top5_acc: 0.6922, loss_cls: 3.5992, loss: 3.5992 +2024-01-02 14:56:22,132 - pyskl - INFO - Epoch [114][300/3746] lr: 1.422e-02, eta: 1 day, 0:11:51, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4239, top5_acc: 0.6864, loss_cls: 3.6236, loss: 3.6236 +2024-01-02 14:57:21,861 - pyskl - INFO - Epoch [114][400/3746] lr: 1.420e-02, eta: 1 day, 0:10:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4295, top5_acc: 0.6814, loss_cls: 3.6619, loss: 3.6619 +2024-01-02 14:58:21,999 - pyskl - INFO - Epoch [114][500/3746] lr: 1.418e-02, eta: 1 day, 0:09:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4242, top5_acc: 0.6841, loss_cls: 3.6586, loss: 3.6586 +2024-01-02 14:59:21,812 - pyskl - INFO - Epoch [114][600/3746] lr: 1.416e-02, eta: 1 day, 0:08:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4291, top5_acc: 0.6739, loss_cls: 3.6878, loss: 3.6878 +2024-01-02 15:00:21,300 - pyskl - INFO - Epoch [114][700/3746] lr: 1.414e-02, eta: 1 day, 0:07:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4227, top5_acc: 0.6909, loss_cls: 3.6578, loss: 3.6578 +2024-01-02 15:01:20,763 - pyskl - INFO - Epoch [114][800/3746] lr: 1.412e-02, eta: 1 day, 0:06:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4317, top5_acc: 0.6803, loss_cls: 3.6617, loss: 3.6617 +2024-01-02 15:02:20,291 - pyskl - INFO - Epoch [114][900/3746] lr: 1.410e-02, eta: 1 day, 0:05:13, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4081, top5_acc: 0.6734, loss_cls: 3.7265, loss: 3.7265 +2024-01-02 15:03:19,861 - pyskl - INFO - Epoch [114][1000/3746] lr: 1.408e-02, eta: 1 day, 0:04:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4333, top5_acc: 0.6798, loss_cls: 3.6610, loss: 3.6610 +2024-01-02 15:04:19,400 - pyskl - INFO - Epoch [114][1100/3746] lr: 1.406e-02, eta: 1 day, 0:03:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4033, top5_acc: 0.6669, loss_cls: 3.7350, loss: 3.7350 +2024-01-02 15:05:19,328 - pyskl - INFO - Epoch [114][1200/3746] lr: 1.404e-02, eta: 1 day, 0:01:54, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4181, top5_acc: 0.6763, loss_cls: 3.6949, loss: 3.6949 +2024-01-02 15:06:19,377 - pyskl - INFO - Epoch [114][1300/3746] lr: 1.402e-02, eta: 1 day, 0:00:48, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4188, top5_acc: 0.6711, loss_cls: 3.7203, loss: 3.7203 +2024-01-02 15:07:19,214 - pyskl - INFO - Epoch [114][1400/3746] lr: 1.400e-02, eta: 23:59:42, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4127, top5_acc: 0.6758, loss_cls: 3.7003, loss: 3.7003 +2024-01-02 15:08:18,656 - pyskl - INFO - Epoch [114][1500/3746] lr: 1.398e-02, eta: 23:58:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4225, top5_acc: 0.6777, loss_cls: 3.7039, loss: 3.7039 +2024-01-02 15:09:18,410 - pyskl - INFO - Epoch [114][1600/3746] lr: 1.397e-02, eta: 23:57:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4133, top5_acc: 0.6730, loss_cls: 3.6943, loss: 3.6943 +2024-01-02 15:10:18,132 - pyskl - INFO - Epoch [114][1700/3746] lr: 1.395e-02, eta: 23:56:23, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4189, top5_acc: 0.6717, loss_cls: 3.7094, loss: 3.7094 +2024-01-02 15:11:17,649 - pyskl - INFO - Epoch [114][1800/3746] lr: 1.393e-02, eta: 23:55:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4169, top5_acc: 0.6856, loss_cls: 3.6716, loss: 3.6716 +2024-01-02 15:12:17,123 - pyskl - INFO - Epoch [114][1900/3746] lr: 1.391e-02, eta: 23:54:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4167, top5_acc: 0.6806, loss_cls: 3.6933, loss: 3.6933 +2024-01-02 15:13:16,825 - pyskl - INFO - Epoch [114][2000/3746] lr: 1.389e-02, eta: 23:53:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4291, top5_acc: 0.6863, loss_cls: 3.6759, loss: 3.6759 +2024-01-02 15:14:16,332 - pyskl - INFO - Epoch [114][2100/3746] lr: 1.387e-02, eta: 23:51:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4128, top5_acc: 0.6628, loss_cls: 3.7440, loss: 3.7440 +2024-01-02 15:15:15,999 - pyskl - INFO - Epoch [114][2200/3746] lr: 1.385e-02, eta: 23:50:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4123, top5_acc: 0.6770, loss_cls: 3.7002, loss: 3.7002 +2024-01-02 15:16:15,482 - pyskl - INFO - Epoch [114][2300/3746] lr: 1.383e-02, eta: 23:49:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4203, top5_acc: 0.6734, loss_cls: 3.6799, loss: 3.6799 +2024-01-02 15:17:15,346 - pyskl - INFO - Epoch [114][2400/3746] lr: 1.381e-02, eta: 23:48:39, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4181, top5_acc: 0.6687, loss_cls: 3.7249, loss: 3.7249 +2024-01-02 15:18:15,882 - pyskl - INFO - Epoch [114][2500/3746] lr: 1.379e-02, eta: 23:47:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4152, top5_acc: 0.6658, loss_cls: 3.7165, loss: 3.7165 +2024-01-02 15:19:16,379 - pyskl - INFO - Epoch [114][2600/3746] lr: 1.377e-02, eta: 23:46:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4236, top5_acc: 0.6845, loss_cls: 3.6822, loss: 3.6822 +2024-01-02 15:20:16,530 - pyskl - INFO - Epoch [114][2700/3746] lr: 1.375e-02, eta: 23:45:23, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4055, top5_acc: 0.6656, loss_cls: 3.7505, loss: 3.7505 +2024-01-02 15:21:15,882 - pyskl - INFO - Epoch [114][2800/3746] lr: 1.373e-02, eta: 23:44:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4166, top5_acc: 0.6736, loss_cls: 3.7347, loss: 3.7347 +2024-01-02 15:22:15,598 - pyskl - INFO - Epoch [114][2900/3746] lr: 1.371e-02, eta: 23:43:10, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4152, top5_acc: 0.6705, loss_cls: 3.7271, loss: 3.7271 +2024-01-02 15:23:15,648 - pyskl - INFO - Epoch [114][3000/3746] lr: 1.369e-02, eta: 23:42:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4131, top5_acc: 0.6781, loss_cls: 3.6900, loss: 3.6900 +2024-01-02 15:24:15,863 - pyskl - INFO - Epoch [114][3100/3746] lr: 1.368e-02, eta: 23:40:59, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4197, top5_acc: 0.6734, loss_cls: 3.7051, loss: 3.7051 +2024-01-02 15:25:15,460 - pyskl - INFO - Epoch [114][3200/3746] lr: 1.366e-02, eta: 23:39:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4269, top5_acc: 0.6808, loss_cls: 3.6725, loss: 3.6725 +2024-01-02 15:26:14,645 - pyskl - INFO - Epoch [114][3300/3746] lr: 1.364e-02, eta: 23:38:46, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4100, top5_acc: 0.6684, loss_cls: 3.7387, loss: 3.7387 +2024-01-02 15:27:14,210 - pyskl - INFO - Epoch [114][3400/3746] lr: 1.362e-02, eta: 23:37:40, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4142, top5_acc: 0.6716, loss_cls: 3.7210, loss: 3.7210 +2024-01-02 15:28:14,136 - pyskl - INFO - Epoch [114][3500/3746] lr: 1.360e-02, eta: 23:36:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4069, top5_acc: 0.6639, loss_cls: 3.7459, loss: 3.7459 +2024-01-02 15:29:14,810 - pyskl - INFO - Epoch [114][3600/3746] lr: 1.358e-02, eta: 23:35:29, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4180, top5_acc: 0.6747, loss_cls: 3.6886, loss: 3.6886 +2024-01-02 15:30:15,301 - pyskl - INFO - Epoch [114][3700/3746] lr: 1.356e-02, eta: 23:34:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4089, top5_acc: 0.6675, loss_cls: 3.7515, loss: 3.7515 +2024-01-02 15:30:45,370 - pyskl - INFO - Saving checkpoint at 114 epochs +2024-01-02 15:32:40,975 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 15:32:42,002 - pyskl - INFO - +top1_acc 0.3542 +top5_acc 0.6167 +2024-01-02 15:32:42,003 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 15:32:42,042 - pyskl - INFO - +mean_acc 0.3540 +2024-01-02 15:32:42,053 - pyskl - INFO - Epoch(val) [114][309] top1_acc: 0.3542, top5_acc: 0.6167, mean_class_accuracy: 0.3540 +2024-01-02 15:36:03,559 - pyskl - INFO - Epoch [115][100/3746] lr: 1.353e-02, eta: 23:34:39, time: 2.015, data_time: 1.426, memory: 16177, top1_acc: 0.4464, top5_acc: 0.7034, loss_cls: 3.5618, loss: 3.5618 +2024-01-02 15:37:02,646 - pyskl - INFO - Epoch [115][200/3746] lr: 1.351e-02, eta: 23:33:32, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4314, top5_acc: 0.6884, loss_cls: 3.6298, loss: 3.6298 +2024-01-02 15:38:01,844 - pyskl - INFO - Epoch [115][300/3746] lr: 1.349e-02, eta: 23:32:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4248, top5_acc: 0.6920, loss_cls: 3.6336, loss: 3.6336 +2024-01-02 15:39:01,328 - pyskl - INFO - Epoch [115][400/3746] lr: 1.348e-02, eta: 23:31:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4269, top5_acc: 0.6886, loss_cls: 3.6525, loss: 3.6525 +2024-01-02 15:40:01,669 - pyskl - INFO - Epoch [115][500/3746] lr: 1.346e-02, eta: 23:30:13, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4406, top5_acc: 0.6958, loss_cls: 3.6126, loss: 3.6126 +2024-01-02 15:41:01,842 - pyskl - INFO - Epoch [115][600/3746] lr: 1.344e-02, eta: 23:29:08, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4228, top5_acc: 0.6852, loss_cls: 3.6712, loss: 3.6712 +2024-01-02 15:42:01,263 - pyskl - INFO - Epoch [115][700/3746] lr: 1.342e-02, eta: 23:28:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4198, top5_acc: 0.6775, loss_cls: 3.6786, loss: 3.6786 +2024-01-02 15:43:01,140 - pyskl - INFO - Epoch [115][800/3746] lr: 1.340e-02, eta: 23:26:55, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4417, top5_acc: 0.6856, loss_cls: 3.6305, loss: 3.6305 +2024-01-02 15:44:00,798 - pyskl - INFO - Epoch [115][900/3746] lr: 1.338e-02, eta: 23:25:49, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4225, top5_acc: 0.6861, loss_cls: 3.6406, loss: 3.6406 +2024-01-02 15:45:00,140 - pyskl - INFO - Epoch [115][1000/3746] lr: 1.336e-02, eta: 23:24:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4220, top5_acc: 0.6764, loss_cls: 3.6706, loss: 3.6706 +2024-01-02 15:45:59,437 - pyskl - INFO - Epoch [115][1100/3746] lr: 1.334e-02, eta: 23:23:36, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4305, top5_acc: 0.6816, loss_cls: 3.6618, loss: 3.6618 +2024-01-02 15:46:58,880 - pyskl - INFO - Epoch [115][1200/3746] lr: 1.332e-02, eta: 23:22:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4234, top5_acc: 0.6805, loss_cls: 3.6975, loss: 3.6975 +2024-01-02 15:47:59,534 - pyskl - INFO - Epoch [115][1300/3746] lr: 1.330e-02, eta: 23:21:25, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.4286, top5_acc: 0.6845, loss_cls: 3.6670, loss: 3.6670 +2024-01-02 15:48:59,813 - pyskl - INFO - Epoch [115][1400/3746] lr: 1.328e-02, eta: 23:20:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4238, top5_acc: 0.6919, loss_cls: 3.6332, loss: 3.6332 +2024-01-02 15:49:59,857 - pyskl - INFO - Epoch [115][1500/3746] lr: 1.327e-02, eta: 23:19:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4289, top5_acc: 0.6825, loss_cls: 3.6710, loss: 3.6710 +2024-01-02 15:50:59,222 - pyskl - INFO - Epoch [115][1600/3746] lr: 1.325e-02, eta: 23:18:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4255, top5_acc: 0.6870, loss_cls: 3.6405, loss: 3.6405 +2024-01-02 15:51:58,915 - pyskl - INFO - Epoch [115][1700/3746] lr: 1.323e-02, eta: 23:17:01, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4155, top5_acc: 0.6716, loss_cls: 3.7148, loss: 3.7148 +2024-01-02 15:52:58,165 - pyskl - INFO - Epoch [115][1800/3746] lr: 1.321e-02, eta: 23:15:55, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4305, top5_acc: 0.6730, loss_cls: 3.6928, loss: 3.6928 +2024-01-02 15:53:57,287 - pyskl - INFO - Epoch [115][1900/3746] lr: 1.319e-02, eta: 23:14:48, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4222, top5_acc: 0.6834, loss_cls: 3.6624, loss: 3.6624 +2024-01-02 15:54:56,907 - pyskl - INFO - Epoch [115][2000/3746] lr: 1.317e-02, eta: 23:13:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4175, top5_acc: 0.6745, loss_cls: 3.6888, loss: 3.6888 +2024-01-02 15:55:56,405 - pyskl - INFO - Epoch [115][2100/3746] lr: 1.315e-02, eta: 23:12:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4267, top5_acc: 0.6880, loss_cls: 3.6378, loss: 3.6378 +2024-01-02 15:56:56,351 - pyskl - INFO - Epoch [115][2200/3746] lr: 1.313e-02, eta: 23:11:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4133, top5_acc: 0.6764, loss_cls: 3.7089, loss: 3.7089 +2024-01-02 15:57:55,872 - pyskl - INFO - Epoch [115][2300/3746] lr: 1.311e-02, eta: 23:10:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4189, top5_acc: 0.6806, loss_cls: 3.6807, loss: 3.6807 +2024-01-02 15:58:55,616 - pyskl - INFO - Epoch [115][2400/3746] lr: 1.310e-02, eta: 23:09:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4173, top5_acc: 0.6820, loss_cls: 3.6941, loss: 3.6941 +2024-01-02 15:59:55,423 - pyskl - INFO - Epoch [115][2500/3746] lr: 1.308e-02, eta: 23:08:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4067, top5_acc: 0.6655, loss_cls: 3.7497, loss: 3.7497 +2024-01-02 16:00:55,044 - pyskl - INFO - Epoch [115][2600/3746] lr: 1.306e-02, eta: 23:07:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4178, top5_acc: 0.6739, loss_cls: 3.7151, loss: 3.7151 +2024-01-02 16:01:54,359 - pyskl - INFO - Epoch [115][2700/3746] lr: 1.304e-02, eta: 23:06:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4217, top5_acc: 0.6848, loss_cls: 3.6904, loss: 3.6904 +2024-01-02 16:02:53,833 - pyskl - INFO - Epoch [115][2800/3746] lr: 1.302e-02, eta: 23:04:54, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4184, top5_acc: 0.6794, loss_cls: 3.6709, loss: 3.6709 +2024-01-02 16:03:54,059 - pyskl - INFO - Epoch [115][2900/3746] lr: 1.300e-02, eta: 23:03:48, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4202, top5_acc: 0.6739, loss_cls: 3.7080, loss: 3.7080 +2024-01-02 16:04:54,141 - pyskl - INFO - Epoch [115][3000/3746] lr: 1.298e-02, eta: 23:02:43, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4172, top5_acc: 0.6761, loss_cls: 3.6982, loss: 3.6982 +2024-01-02 16:05:54,076 - pyskl - INFO - Epoch [115][3100/3746] lr: 1.296e-02, eta: 23:01:37, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4189, top5_acc: 0.6695, loss_cls: 3.7025, loss: 3.7025 +2024-01-02 16:06:53,828 - pyskl - INFO - Epoch [115][3200/3746] lr: 1.295e-02, eta: 23:00:31, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4319, top5_acc: 0.6783, loss_cls: 3.6343, loss: 3.6343 +2024-01-02 16:07:53,332 - pyskl - INFO - Epoch [115][3300/3746] lr: 1.293e-02, eta: 22:59:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4170, top5_acc: 0.6686, loss_cls: 3.7366, loss: 3.7366 +2024-01-02 16:08:53,157 - pyskl - INFO - Epoch [115][3400/3746] lr: 1.291e-02, eta: 22:58:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4211, top5_acc: 0.6839, loss_cls: 3.6455, loss: 3.6455 +2024-01-02 16:09:52,475 - pyskl - INFO - Epoch [115][3500/3746] lr: 1.289e-02, eta: 22:57:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4241, top5_acc: 0.6834, loss_cls: 3.6927, loss: 3.6927 +2024-01-02 16:10:52,437 - pyskl - INFO - Epoch [115][3600/3746] lr: 1.287e-02, eta: 22:56:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4127, top5_acc: 0.6745, loss_cls: 3.7037, loss: 3.7037 +2024-01-02 16:11:52,648 - pyskl - INFO - Epoch [115][3700/3746] lr: 1.285e-02, eta: 22:55:02, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4119, top5_acc: 0.6723, loss_cls: 3.6932, loss: 3.6932 +2024-01-02 16:12:23,255 - pyskl - INFO - Saving checkpoint at 115 epochs +2024-01-02 16:14:19,894 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 16:14:20,662 - pyskl - INFO - +top1_acc 0.3549 +top5_acc 0.6077 +2024-01-02 16:14:20,662 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 16:14:20,695 - pyskl - INFO - +mean_acc 0.3545 +2024-01-02 16:14:20,707 - pyskl - INFO - Epoch(val) [115][309] top1_acc: 0.3549, top5_acc: 0.6077, mean_class_accuracy: 0.3545 +2024-01-02 16:17:43,554 - pyskl - INFO - Epoch [116][100/3746] lr: 1.282e-02, eta: 22:55:12, time: 2.028, data_time: 1.436, memory: 16177, top1_acc: 0.4459, top5_acc: 0.7008, loss_cls: 3.5451, loss: 3.5451 +2024-01-02 16:18:42,985 - pyskl - INFO - Epoch [116][200/3746] lr: 1.281e-02, eta: 22:54:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4439, top5_acc: 0.7002, loss_cls: 3.5612, loss: 3.5612 +2024-01-02 16:19:42,502 - pyskl - INFO - Epoch [116][300/3746] lr: 1.279e-02, eta: 22:53:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4373, top5_acc: 0.6931, loss_cls: 3.6048, loss: 3.6048 +2024-01-02 16:20:42,175 - pyskl - INFO - Epoch [116][400/3746] lr: 1.277e-02, eta: 22:51:54, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4297, top5_acc: 0.6866, loss_cls: 3.6012, loss: 3.6012 +2024-01-02 16:21:41,851 - pyskl - INFO - Epoch [116][500/3746] lr: 1.275e-02, eta: 22:50:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4333, top5_acc: 0.6947, loss_cls: 3.6102, loss: 3.6102 +2024-01-02 16:22:41,070 - pyskl - INFO - Epoch [116][600/3746] lr: 1.273e-02, eta: 22:49:41, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4378, top5_acc: 0.6967, loss_cls: 3.5889, loss: 3.5889 +2024-01-02 16:23:40,482 - pyskl - INFO - Epoch [116][700/3746] lr: 1.271e-02, eta: 22:48:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4273, top5_acc: 0.6848, loss_cls: 3.6489, loss: 3.6489 +2024-01-02 16:24:40,215 - pyskl - INFO - Epoch [116][800/3746] lr: 1.269e-02, eta: 22:47:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4286, top5_acc: 0.6719, loss_cls: 3.6607, loss: 3.6607 +2024-01-02 16:25:40,601 - pyskl - INFO - Epoch [116][900/3746] lr: 1.268e-02, eta: 22:46:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4252, top5_acc: 0.6803, loss_cls: 3.6701, loss: 3.6701 +2024-01-02 16:26:40,919 - pyskl - INFO - Epoch [116][1000/3746] lr: 1.266e-02, eta: 22:45:19, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4186, top5_acc: 0.6859, loss_cls: 3.6567, loss: 3.6567 +2024-01-02 16:27:40,325 - pyskl - INFO - Epoch [116][1100/3746] lr: 1.264e-02, eta: 22:44:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.6866, loss_cls: 3.6297, loss: 3.6297 +2024-01-02 16:28:40,335 - pyskl - INFO - Epoch [116][1200/3746] lr: 1.262e-02, eta: 22:43:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4395, top5_acc: 0.6920, loss_cls: 3.6236, loss: 3.6236 +2024-01-02 16:29:40,209 - pyskl - INFO - Epoch [116][1300/3746] lr: 1.260e-02, eta: 22:42:01, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4334, top5_acc: 0.6855, loss_cls: 3.6461, loss: 3.6461 +2024-01-02 16:30:40,479 - pyskl - INFO - Epoch [116][1400/3746] lr: 1.258e-02, eta: 22:40:56, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4261, top5_acc: 0.6877, loss_cls: 3.6520, loss: 3.6520 +2024-01-02 16:31:40,564 - pyskl - INFO - Epoch [116][1500/3746] lr: 1.256e-02, eta: 22:39:50, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4288, top5_acc: 0.6814, loss_cls: 3.6448, loss: 3.6448 +2024-01-02 16:32:40,499 - pyskl - INFO - Epoch [116][1600/3746] lr: 1.255e-02, eta: 22:38:44, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4164, top5_acc: 0.6827, loss_cls: 3.6694, loss: 3.6694 +2024-01-02 16:33:40,573 - pyskl - INFO - Epoch [116][1700/3746] lr: 1.253e-02, eta: 22:37:39, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4317, top5_acc: 0.6883, loss_cls: 3.6182, loss: 3.6182 +2024-01-02 16:34:40,367 - pyskl - INFO - Epoch [116][1800/3746] lr: 1.251e-02, eta: 22:36:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4098, top5_acc: 0.6736, loss_cls: 3.6994, loss: 3.6994 +2024-01-02 16:35:39,531 - pyskl - INFO - Epoch [116][1900/3746] lr: 1.249e-02, eta: 22:35:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4258, top5_acc: 0.6863, loss_cls: 3.6588, loss: 3.6588 +2024-01-02 16:36:39,002 - pyskl - INFO - Epoch [116][2000/3746] lr: 1.247e-02, eta: 22:34:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4216, top5_acc: 0.6795, loss_cls: 3.6600, loss: 3.6600 +2024-01-02 16:37:38,304 - pyskl - INFO - Epoch [116][2100/3746] lr: 1.245e-02, eta: 22:33:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4202, top5_acc: 0.6811, loss_cls: 3.6578, loss: 3.6578 +2024-01-02 16:38:37,606 - pyskl - INFO - Epoch [116][2200/3746] lr: 1.243e-02, eta: 22:32:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4348, top5_acc: 0.6895, loss_cls: 3.6292, loss: 3.6292 +2024-01-02 16:39:37,297 - pyskl - INFO - Epoch [116][2300/3746] lr: 1.242e-02, eta: 22:31:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4213, top5_acc: 0.6792, loss_cls: 3.6776, loss: 3.6776 +2024-01-02 16:40:36,809 - pyskl - INFO - Epoch [116][2400/3746] lr: 1.240e-02, eta: 22:29:57, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4219, top5_acc: 0.6839, loss_cls: 3.6789, loss: 3.6789 +2024-01-02 16:41:36,733 - pyskl - INFO - Epoch [116][2500/3746] lr: 1.238e-02, eta: 22:28:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4269, top5_acc: 0.6845, loss_cls: 3.6567, loss: 3.6567 +2024-01-02 16:42:36,875 - pyskl - INFO - Epoch [116][2600/3746] lr: 1.236e-02, eta: 22:27:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4267, top5_acc: 0.6800, loss_cls: 3.6656, loss: 3.6656 +2024-01-02 16:43:36,624 - pyskl - INFO - Epoch [116][2700/3746] lr: 1.234e-02, eta: 22:26:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4295, top5_acc: 0.6892, loss_cls: 3.6255, loss: 3.6255 +2024-01-02 16:44:36,303 - pyskl - INFO - Epoch [116][2800/3746] lr: 1.232e-02, eta: 22:25:34, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4175, top5_acc: 0.6819, loss_cls: 3.6738, loss: 3.6738 +2024-01-02 16:45:35,466 - pyskl - INFO - Epoch [116][2900/3746] lr: 1.231e-02, eta: 22:24:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4273, top5_acc: 0.6728, loss_cls: 3.6836, loss: 3.6836 +2024-01-02 16:46:35,384 - pyskl - INFO - Epoch [116][3000/3746] lr: 1.229e-02, eta: 22:23:22, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4298, top5_acc: 0.6875, loss_cls: 3.6295, loss: 3.6295 +2024-01-02 16:47:36,447 - pyskl - INFO - Epoch [116][3100/3746] lr: 1.227e-02, eta: 22:22:18, time: 0.611, data_time: 0.001, memory: 16177, top1_acc: 0.4245, top5_acc: 0.6811, loss_cls: 3.6884, loss: 3.6884 +2024-01-02 16:48:36,086 - pyskl - INFO - Epoch [116][3200/3746] lr: 1.225e-02, eta: 22:21:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4075, top5_acc: 0.6709, loss_cls: 3.7340, loss: 3.7340 +2024-01-02 16:49:35,555 - pyskl - INFO - Epoch [116][3300/3746] lr: 1.223e-02, eta: 22:20:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4045, top5_acc: 0.6730, loss_cls: 3.7393, loss: 3.7393 +2024-01-02 16:50:34,814 - pyskl - INFO - Epoch [116][3400/3746] lr: 1.221e-02, eta: 22:19:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4080, top5_acc: 0.6677, loss_cls: 3.7480, loss: 3.7480 +2024-01-02 16:51:34,427 - pyskl - INFO - Epoch [116][3500/3746] lr: 1.220e-02, eta: 22:17:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4372, top5_acc: 0.6913, loss_cls: 3.6354, loss: 3.6354 +2024-01-02 16:52:34,748 - pyskl - INFO - Epoch [116][3600/3746] lr: 1.218e-02, eta: 22:16:49, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4267, top5_acc: 0.6883, loss_cls: 3.6532, loss: 3.6532 +2024-01-02 16:53:34,714 - pyskl - INFO - Epoch [116][3700/3746] lr: 1.216e-02, eta: 22:15:43, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4353, top5_acc: 0.6834, loss_cls: 3.6478, loss: 3.6478 +2024-01-02 16:54:04,965 - pyskl - INFO - Saving checkpoint at 116 epochs +2024-01-02 16:55:58,867 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 16:55:59,850 - pyskl - INFO - +top1_acc 0.3648 +top5_acc 0.6201 +2024-01-02 16:55:59,850 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 16:55:59,887 - pyskl - INFO - +mean_acc 0.3647 +2024-01-02 16:55:59,893 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_113.pth was removed +2024-01-02 16:56:00,196 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_116.pth. +2024-01-02 16:56:00,197 - pyskl - INFO - Best top1_acc is 0.3648 at 116 epoch. +2024-01-02 16:56:00,208 - pyskl - INFO - Epoch(val) [116][309] top1_acc: 0.3648, top5_acc: 0.6201, mean_class_accuracy: 0.3647 +2024-01-02 16:59:22,684 - pyskl - INFO - Epoch [117][100/3746] lr: 1.213e-02, eta: 22:15:48, time: 2.025, data_time: 1.434, memory: 16177, top1_acc: 0.4378, top5_acc: 0.6925, loss_cls: 3.5728, loss: 3.5728 +2024-01-02 17:00:21,894 - pyskl - INFO - Epoch [117][200/3746] lr: 1.211e-02, eta: 22:14:42, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4403, top5_acc: 0.7023, loss_cls: 3.5596, loss: 3.5596 +2024-01-02 17:01:20,960 - pyskl - INFO - Epoch [117][300/3746] lr: 1.210e-02, eta: 22:13:35, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4295, top5_acc: 0.6906, loss_cls: 3.6256, loss: 3.6256 +2024-01-02 17:02:20,096 - pyskl - INFO - Epoch [117][400/3746] lr: 1.208e-02, eta: 22:12:29, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4431, top5_acc: 0.6944, loss_cls: 3.5738, loss: 3.5738 +2024-01-02 17:03:19,412 - pyskl - INFO - Epoch [117][500/3746] lr: 1.206e-02, eta: 22:11:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4369, top5_acc: 0.6975, loss_cls: 3.5843, loss: 3.5843 +2024-01-02 17:04:18,851 - pyskl - INFO - Epoch [117][600/3746] lr: 1.204e-02, eta: 22:10:17, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4372, top5_acc: 0.6928, loss_cls: 3.5985, loss: 3.5985 +2024-01-02 17:05:18,000 - pyskl - INFO - Epoch [117][700/3746] lr: 1.202e-02, eta: 22:09:11, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4344, top5_acc: 0.6883, loss_cls: 3.6048, loss: 3.6048 +2024-01-02 17:06:17,314 - pyskl - INFO - Epoch [117][800/3746] lr: 1.200e-02, eta: 22:08:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4364, top5_acc: 0.6972, loss_cls: 3.6024, loss: 3.6024 +2024-01-02 17:07:16,814 - pyskl - INFO - Epoch [117][900/3746] lr: 1.199e-02, eta: 22:06:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4311, top5_acc: 0.6916, loss_cls: 3.6241, loss: 3.6241 +2024-01-02 17:08:16,177 - pyskl - INFO - Epoch [117][1000/3746] lr: 1.197e-02, eta: 22:05:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4253, top5_acc: 0.6920, loss_cls: 3.6338, loss: 3.6338 +2024-01-02 17:09:15,621 - pyskl - INFO - Epoch [117][1100/3746] lr: 1.195e-02, eta: 22:04:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4283, top5_acc: 0.6880, loss_cls: 3.6492, loss: 3.6492 +2024-01-02 17:10:15,196 - pyskl - INFO - Epoch [117][1200/3746] lr: 1.193e-02, eta: 22:03:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4270, top5_acc: 0.6858, loss_cls: 3.6525, loss: 3.6525 +2024-01-02 17:11:14,395 - pyskl - INFO - Epoch [117][1300/3746] lr: 1.191e-02, eta: 22:02:34, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4319, top5_acc: 0.6841, loss_cls: 3.6504, loss: 3.6504 +2024-01-02 17:12:14,319 - pyskl - INFO - Epoch [117][1400/3746] lr: 1.190e-02, eta: 22:01:29, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.6931, loss_cls: 3.5976, loss: 3.5976 +2024-01-02 17:13:14,699 - pyskl - INFO - Epoch [117][1500/3746] lr: 1.188e-02, eta: 22:00:24, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4242, top5_acc: 0.6786, loss_cls: 3.6534, loss: 3.6534 +2024-01-02 17:14:14,479 - pyskl - INFO - Epoch [117][1600/3746] lr: 1.186e-02, eta: 21:59:18, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4352, top5_acc: 0.6948, loss_cls: 3.5967, loss: 3.5967 +2024-01-02 17:15:14,321 - pyskl - INFO - Epoch [117][1700/3746] lr: 1.184e-02, eta: 21:58:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4253, top5_acc: 0.6769, loss_cls: 3.6511, loss: 3.6511 +2024-01-02 17:16:13,988 - pyskl - INFO - Epoch [117][1800/3746] lr: 1.182e-02, eta: 21:57:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4280, top5_acc: 0.6881, loss_cls: 3.6323, loss: 3.6323 +2024-01-02 17:17:13,556 - pyskl - INFO - Epoch [117][1900/3746] lr: 1.181e-02, eta: 21:56:01, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4369, top5_acc: 0.6856, loss_cls: 3.6328, loss: 3.6328 +2024-01-02 17:18:12,953 - pyskl - INFO - Epoch [117][2000/3746] lr: 1.179e-02, eta: 21:54:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4280, top5_acc: 0.6803, loss_cls: 3.6579, loss: 3.6579 +2024-01-02 17:19:12,569 - pyskl - INFO - Epoch [117][2100/3746] lr: 1.177e-02, eta: 21:53:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4208, top5_acc: 0.6827, loss_cls: 3.6553, loss: 3.6553 +2024-01-02 17:20:11,892 - pyskl - INFO - Epoch [117][2200/3746] lr: 1.175e-02, eta: 21:52:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4338, top5_acc: 0.6908, loss_cls: 3.6228, loss: 3.6228 +2024-01-02 17:21:11,284 - pyskl - INFO - Epoch [117][2300/3746] lr: 1.173e-02, eta: 21:51:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4180, top5_acc: 0.6689, loss_cls: 3.7130, loss: 3.7130 +2024-01-02 17:22:10,740 - pyskl - INFO - Epoch [117][2400/3746] lr: 1.172e-02, eta: 21:50:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4363, top5_acc: 0.6864, loss_cls: 3.6310, loss: 3.6310 +2024-01-02 17:23:10,225 - pyskl - INFO - Epoch [117][2500/3746] lr: 1.170e-02, eta: 21:49:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.6853, loss_cls: 3.6277, loss: 3.6277 +2024-01-02 17:24:09,456 - pyskl - INFO - Epoch [117][2600/3746] lr: 1.168e-02, eta: 21:48:20, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4313, top5_acc: 0.6839, loss_cls: 3.6473, loss: 3.6473 +2024-01-02 17:25:08,934 - pyskl - INFO - Epoch [117][2700/3746] lr: 1.166e-02, eta: 21:47:14, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4278, top5_acc: 0.6794, loss_cls: 3.6641, loss: 3.6641 +2024-01-02 17:26:08,315 - pyskl - INFO - Epoch [117][2800/3746] lr: 1.164e-02, eta: 21:46:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4406, top5_acc: 0.6878, loss_cls: 3.6156, loss: 3.6156 +2024-01-02 17:27:08,274 - pyskl - INFO - Epoch [117][2900/3746] lr: 1.163e-02, eta: 21:45:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4114, top5_acc: 0.6723, loss_cls: 3.7043, loss: 3.7043 +2024-01-02 17:28:08,469 - pyskl - INFO - Epoch [117][3000/3746] lr: 1.161e-02, eta: 21:43:58, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4277, top5_acc: 0.6884, loss_cls: 3.6383, loss: 3.6383 +2024-01-02 17:29:08,751 - pyskl - INFO - Epoch [117][3100/3746] lr: 1.159e-02, eta: 21:42:52, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4253, top5_acc: 0.6839, loss_cls: 3.6623, loss: 3.6623 +2024-01-02 17:30:08,250 - pyskl - INFO - Epoch [117][3200/3746] lr: 1.157e-02, eta: 21:41:47, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4234, top5_acc: 0.6844, loss_cls: 3.6368, loss: 3.6368 +2024-01-02 17:31:08,400 - pyskl - INFO - Epoch [117][3300/3746] lr: 1.155e-02, eta: 21:40:42, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4295, top5_acc: 0.6927, loss_cls: 3.6259, loss: 3.6259 +2024-01-02 17:32:08,083 - pyskl - INFO - Epoch [117][3400/3746] lr: 1.154e-02, eta: 21:39:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4350, top5_acc: 0.6919, loss_cls: 3.6202, loss: 3.6202 +2024-01-02 17:33:07,950 - pyskl - INFO - Epoch [117][3500/3746] lr: 1.152e-02, eta: 21:38:31, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4191, top5_acc: 0.6791, loss_cls: 3.6976, loss: 3.6976 +2024-01-02 17:34:08,295 - pyskl - INFO - Epoch [117][3600/3746] lr: 1.150e-02, eta: 21:37:26, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4244, top5_acc: 0.6928, loss_cls: 3.6288, loss: 3.6288 +2024-01-02 17:35:08,506 - pyskl - INFO - Epoch [117][3700/3746] lr: 1.148e-02, eta: 21:36:20, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4380, top5_acc: 0.6916, loss_cls: 3.6222, loss: 3.6222 +2024-01-02 17:35:38,934 - pyskl - INFO - Saving checkpoint at 117 epochs +2024-01-02 17:37:32,897 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 17:37:33,675 - pyskl - INFO - +top1_acc 0.3614 +top5_acc 0.6221 +2024-01-02 17:37:33,675 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 17:37:33,709 - pyskl - INFO - +mean_acc 0.3612 +2024-01-02 17:37:33,717 - pyskl - INFO - Epoch(val) [117][309] top1_acc: 0.3614, top5_acc: 0.6221, mean_class_accuracy: 0.3612 +2024-01-02 17:40:57,002 - pyskl - INFO - Epoch [118][100/3746] lr: 1.146e-02, eta: 21:36:20, time: 2.033, data_time: 1.442, memory: 16177, top1_acc: 0.4506, top5_acc: 0.7073, loss_cls: 3.5161, loss: 3.5161 +2024-01-02 17:41:56,174 - pyskl - INFO - Epoch [118][200/3746] lr: 1.144e-02, eta: 21:35:14, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4366, top5_acc: 0.6925, loss_cls: 3.5789, loss: 3.5789 +2024-01-02 17:42:55,933 - pyskl - INFO - Epoch [118][300/3746] lr: 1.142e-02, eta: 21:34:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4445, top5_acc: 0.7108, loss_cls: 3.5267, loss: 3.5267 +2024-01-02 17:43:56,371 - pyskl - INFO - Epoch [118][400/3746] lr: 1.140e-02, eta: 21:33:04, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4430, top5_acc: 0.6927, loss_cls: 3.5889, loss: 3.5889 +2024-01-02 17:44:55,752 - pyskl - INFO - Epoch [118][500/3746] lr: 1.139e-02, eta: 21:31:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4394, top5_acc: 0.7031, loss_cls: 3.5543, loss: 3.5543 +2024-01-02 17:45:55,139 - pyskl - INFO - Epoch [118][600/3746] lr: 1.137e-02, eta: 21:30:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4409, top5_acc: 0.6927, loss_cls: 3.5854, loss: 3.5854 +2024-01-02 17:46:54,810 - pyskl - INFO - Epoch [118][700/3746] lr: 1.135e-02, eta: 21:29:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4444, top5_acc: 0.6998, loss_cls: 3.5582, loss: 3.5582 +2024-01-02 17:47:54,450 - pyskl - INFO - Epoch [118][800/3746] lr: 1.133e-02, eta: 21:28:41, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4305, top5_acc: 0.6958, loss_cls: 3.6169, loss: 3.6169 +2024-01-02 17:48:54,525 - pyskl - INFO - Epoch [118][900/3746] lr: 1.131e-02, eta: 21:27:35, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4300, top5_acc: 0.6975, loss_cls: 3.6032, loss: 3.6032 +2024-01-02 17:49:54,417 - pyskl - INFO - Epoch [118][1000/3746] lr: 1.130e-02, eta: 21:26:30, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4364, top5_acc: 0.6878, loss_cls: 3.5993, loss: 3.5993 +2024-01-02 17:50:54,051 - pyskl - INFO - Epoch [118][1100/3746] lr: 1.128e-02, eta: 21:25:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4391, top5_acc: 0.7031, loss_cls: 3.5729, loss: 3.5729 +2024-01-02 17:51:53,313 - pyskl - INFO - Epoch [118][1200/3746] lr: 1.126e-02, eta: 21:24:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4439, top5_acc: 0.6903, loss_cls: 3.5626, loss: 3.5626 +2024-01-02 17:52:52,738 - pyskl - INFO - Epoch [118][1300/3746] lr: 1.124e-02, eta: 21:23:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4384, top5_acc: 0.6978, loss_cls: 3.5882, loss: 3.5882 +2024-01-02 17:53:52,786 - pyskl - INFO - Epoch [118][1400/3746] lr: 1.123e-02, eta: 21:22:07, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4298, top5_acc: 0.6905, loss_cls: 3.6168, loss: 3.6168 +2024-01-02 17:54:53,437 - pyskl - INFO - Epoch [118][1500/3746] lr: 1.121e-02, eta: 21:21:02, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4339, top5_acc: 0.7028, loss_cls: 3.5687, loss: 3.5687 +2024-01-02 17:55:53,806 - pyskl - INFO - Epoch [118][1600/3746] lr: 1.119e-02, eta: 21:19:57, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4334, top5_acc: 0.6814, loss_cls: 3.6283, loss: 3.6283 +2024-01-02 17:56:53,721 - pyskl - INFO - Epoch [118][1700/3746] lr: 1.117e-02, eta: 21:18:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4434, top5_acc: 0.7022, loss_cls: 3.5653, loss: 3.5653 +2024-01-02 17:57:53,545 - pyskl - INFO - Epoch [118][1800/3746] lr: 1.116e-02, eta: 21:17:46, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4281, top5_acc: 0.6814, loss_cls: 3.6467, loss: 3.6467 +2024-01-02 17:58:52,856 - pyskl - INFO - Epoch [118][1900/3746] lr: 1.114e-02, eta: 21:16:41, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4281, top5_acc: 0.6892, loss_cls: 3.6204, loss: 3.6204 +2024-01-02 17:59:52,365 - pyskl - INFO - Epoch [118][2000/3746] lr: 1.112e-02, eta: 21:15:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4222, top5_acc: 0.6884, loss_cls: 3.6708, loss: 3.6708 +2024-01-02 18:00:51,896 - pyskl - INFO - Epoch [118][2100/3746] lr: 1.110e-02, eta: 21:14:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4311, top5_acc: 0.6866, loss_cls: 3.6257, loss: 3.6257 +2024-01-02 18:01:51,328 - pyskl - INFO - Epoch [118][2200/3746] lr: 1.109e-02, eta: 21:13:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4320, top5_acc: 0.6845, loss_cls: 3.6344, loss: 3.6344 +2024-01-02 18:02:50,906 - pyskl - INFO - Epoch [118][2300/3746] lr: 1.107e-02, eta: 21:12:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4292, top5_acc: 0.6834, loss_cls: 3.6714, loss: 3.6714 +2024-01-02 18:03:51,314 - pyskl - INFO - Epoch [118][2400/3746] lr: 1.105e-02, eta: 21:11:13, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4356, top5_acc: 0.6903, loss_cls: 3.6395, loss: 3.6395 +2024-01-02 18:04:51,429 - pyskl - INFO - Epoch [118][2500/3746] lr: 1.103e-02, eta: 21:10:08, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4350, top5_acc: 0.6945, loss_cls: 3.5884, loss: 3.5884 +2024-01-02 18:05:51,016 - pyskl - INFO - Epoch [118][2600/3746] lr: 1.102e-02, eta: 21:09:02, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4222, top5_acc: 0.6781, loss_cls: 3.6873, loss: 3.6873 +2024-01-02 18:06:51,045 - pyskl - INFO - Epoch [118][2700/3746] lr: 1.100e-02, eta: 21:07:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4317, top5_acc: 0.6889, loss_cls: 3.5984, loss: 3.5984 +2024-01-02 18:07:50,965 - pyskl - INFO - Epoch [118][2800/3746] lr: 1.098e-02, eta: 21:06:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4236, top5_acc: 0.6781, loss_cls: 3.6654, loss: 3.6654 +2024-01-02 18:08:51,055 - pyskl - INFO - Epoch [118][2900/3746] lr: 1.096e-02, eta: 21:05:47, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4363, top5_acc: 0.6947, loss_cls: 3.5842, loss: 3.5842 +2024-01-02 18:09:51,554 - pyskl - INFO - Epoch [118][3000/3746] lr: 1.095e-02, eta: 21:04:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4391, top5_acc: 0.6986, loss_cls: 3.6056, loss: 3.6056 +2024-01-02 18:10:51,564 - pyskl - INFO - Epoch [118][3100/3746] lr: 1.093e-02, eta: 21:03:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4317, top5_acc: 0.6908, loss_cls: 3.6444, loss: 3.6444 +2024-01-02 18:11:51,271 - pyskl - INFO - Epoch [118][3200/3746] lr: 1.091e-02, eta: 21:02:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4239, top5_acc: 0.6889, loss_cls: 3.6397, loss: 3.6397 +2024-01-02 18:12:50,686 - pyskl - INFO - Epoch [118][3300/3746] lr: 1.089e-02, eta: 21:01:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4325, top5_acc: 0.6881, loss_cls: 3.6075, loss: 3.6075 +2024-01-02 18:13:50,431 - pyskl - INFO - Epoch [118][3400/3746] lr: 1.088e-02, eta: 21:00:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4359, top5_acc: 0.6898, loss_cls: 3.6093, loss: 3.6093 +2024-01-02 18:14:49,845 - pyskl - INFO - Epoch [118][3500/3746] lr: 1.086e-02, eta: 20:59:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4356, top5_acc: 0.6898, loss_cls: 3.6175, loss: 3.6175 +2024-01-02 18:15:50,041 - pyskl - INFO - Epoch [118][3600/3746] lr: 1.084e-02, eta: 20:58:10, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4283, top5_acc: 0.6922, loss_cls: 3.6141, loss: 3.6141 +2024-01-02 18:16:49,969 - pyskl - INFO - Epoch [118][3700/3746] lr: 1.082e-02, eta: 20:57:04, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.4298, top5_acc: 0.6797, loss_cls: 3.6376, loss: 3.6376 +2024-01-02 18:17:20,198 - pyskl - INFO - Saving checkpoint at 118 epochs +2024-01-02 18:19:14,466 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 18:19:15,333 - pyskl - INFO - +top1_acc 0.3694 +top5_acc 0.6194 +2024-01-02 18:19:15,334 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 18:19:15,411 - pyskl - INFO - +mean_acc 0.3691 +2024-01-02 18:19:15,419 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_116.pth was removed +2024-01-02 18:19:15,743 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_118.pth. +2024-01-02 18:19:15,744 - pyskl - INFO - Best top1_acc is 0.3694 at 118 epoch. +2024-01-02 18:19:15,759 - pyskl - INFO - Epoch(val) [118][309] top1_acc: 0.3694, top5_acc: 0.6194, mean_class_accuracy: 0.3691 +2024-01-02 18:22:33,228 - pyskl - INFO - Epoch [119][100/3746] lr: 1.080e-02, eta: 20:56:55, time: 1.975, data_time: 1.382, memory: 16177, top1_acc: 0.4366, top5_acc: 0.7037, loss_cls: 3.5308, loss: 3.5308 +2024-01-02 18:23:32,458 - pyskl - INFO - Epoch [119][200/3746] lr: 1.078e-02, eta: 20:55:49, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7092, loss_cls: 3.5232, loss: 3.5232 +2024-01-02 18:24:31,897 - pyskl - INFO - Epoch [119][300/3746] lr: 1.076e-02, eta: 20:54:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4427, top5_acc: 0.7059, loss_cls: 3.5428, loss: 3.5428 +2024-01-02 18:25:31,578 - pyskl - INFO - Epoch [119][400/3746] lr: 1.075e-02, eta: 20:53:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.7039, loss_cls: 3.5455, loss: 3.5455 +2024-01-02 18:26:31,089 - pyskl - INFO - Epoch [119][500/3746] lr: 1.073e-02, eta: 20:52:32, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4452, top5_acc: 0.6984, loss_cls: 3.5650, loss: 3.5650 +2024-01-02 18:27:31,011 - pyskl - INFO - Epoch [119][600/3746] lr: 1.071e-02, eta: 20:51:27, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4566, top5_acc: 0.7094, loss_cls: 3.5166, loss: 3.5166 +2024-01-02 18:28:30,741 - pyskl - INFO - Epoch [119][700/3746] lr: 1.069e-02, eta: 20:50:21, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4422, top5_acc: 0.6973, loss_cls: 3.5862, loss: 3.5862 +2024-01-02 18:29:30,225 - pyskl - INFO - Epoch [119][800/3746] lr: 1.068e-02, eta: 20:49:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4383, top5_acc: 0.6919, loss_cls: 3.5954, loss: 3.5954 +2024-01-02 18:30:29,830 - pyskl - INFO - Epoch [119][900/3746] lr: 1.066e-02, eta: 20:48:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4367, top5_acc: 0.7019, loss_cls: 3.5693, loss: 3.5693 +2024-01-02 18:31:30,248 - pyskl - INFO - Epoch [119][1000/3746] lr: 1.064e-02, eta: 20:47:05, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4512, top5_acc: 0.7092, loss_cls: 3.5295, loss: 3.5295 +2024-01-02 18:32:30,099 - pyskl - INFO - Epoch [119][1100/3746] lr: 1.063e-02, eta: 20:46:00, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4469, top5_acc: 0.7061, loss_cls: 3.5468, loss: 3.5468 +2024-01-02 18:33:29,937 - pyskl - INFO - Epoch [119][1200/3746] lr: 1.061e-02, eta: 20:44:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4355, top5_acc: 0.6939, loss_cls: 3.6061, loss: 3.6061 +2024-01-02 18:34:29,283 - pyskl - INFO - Epoch [119][1300/3746] lr: 1.059e-02, eta: 20:43:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4363, top5_acc: 0.6986, loss_cls: 3.5862, loss: 3.5862 +2024-01-02 18:35:28,831 - pyskl - INFO - Epoch [119][1400/3746] lr: 1.057e-02, eta: 20:42:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4355, top5_acc: 0.6972, loss_cls: 3.5825, loss: 3.5825 +2024-01-02 18:36:29,785 - pyskl - INFO - Epoch [119][1500/3746] lr: 1.056e-02, eta: 20:41:39, time: 0.610, data_time: 0.001, memory: 16177, top1_acc: 0.4303, top5_acc: 0.6953, loss_cls: 3.6044, loss: 3.6044 +2024-01-02 18:37:30,793 - pyskl - INFO - Epoch [119][1600/3746] lr: 1.054e-02, eta: 20:40:35, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.4373, top5_acc: 0.6967, loss_cls: 3.5945, loss: 3.5945 +2024-01-02 18:38:30,221 - pyskl - INFO - Epoch [119][1700/3746] lr: 1.052e-02, eta: 20:39:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4336, top5_acc: 0.6845, loss_cls: 3.6054, loss: 3.6054 +2024-01-02 18:39:30,271 - pyskl - INFO - Epoch [119][1800/3746] lr: 1.050e-02, eta: 20:38:24, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4472, top5_acc: 0.6978, loss_cls: 3.5783, loss: 3.5783 +2024-01-02 18:40:29,940 - pyskl - INFO - Epoch [119][1900/3746] lr: 1.049e-02, eta: 20:37:18, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4372, top5_acc: 0.6895, loss_cls: 3.6184, loss: 3.6184 +2024-01-02 18:41:29,654 - pyskl - INFO - Epoch [119][2000/3746] lr: 1.047e-02, eta: 20:36:13, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4298, top5_acc: 0.6872, loss_cls: 3.6268, loss: 3.6268 +2024-01-02 18:42:29,038 - pyskl - INFO - Epoch [119][2100/3746] lr: 1.045e-02, eta: 20:35:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4230, top5_acc: 0.6842, loss_cls: 3.6375, loss: 3.6375 +2024-01-02 18:43:28,491 - pyskl - INFO - Epoch [119][2200/3746] lr: 1.044e-02, eta: 20:34:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4327, top5_acc: 0.6900, loss_cls: 3.6089, loss: 3.6089 +2024-01-02 18:44:28,100 - pyskl - INFO - Epoch [119][2300/3746] lr: 1.042e-02, eta: 20:32:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4322, top5_acc: 0.6983, loss_cls: 3.5898, loss: 3.5898 +2024-01-02 18:45:27,575 - pyskl - INFO - Epoch [119][2400/3746] lr: 1.040e-02, eta: 20:31:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4392, top5_acc: 0.6878, loss_cls: 3.6083, loss: 3.6083 +2024-01-02 18:46:27,001 - pyskl - INFO - Epoch [119][2500/3746] lr: 1.039e-02, eta: 20:30:45, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4294, top5_acc: 0.6902, loss_cls: 3.6345, loss: 3.6345 +2024-01-02 18:47:26,332 - pyskl - INFO - Epoch [119][2600/3746] lr: 1.037e-02, eta: 20:29:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4342, top5_acc: 0.6970, loss_cls: 3.6010, loss: 3.6010 +2024-01-02 18:48:26,323 - pyskl - INFO - Epoch [119][2700/3746] lr: 1.035e-02, eta: 20:28:35, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.6947, loss_cls: 3.5945, loss: 3.5945 +2024-01-02 18:49:26,360 - pyskl - INFO - Epoch [119][2800/3746] lr: 1.033e-02, eta: 20:27:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4283, top5_acc: 0.6794, loss_cls: 3.6599, loss: 3.6599 +2024-01-02 18:50:26,422 - pyskl - INFO - Epoch [119][2900/3746] lr: 1.032e-02, eta: 20:26:25, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.6939, loss_cls: 3.5581, loss: 3.5581 +2024-01-02 18:51:27,213 - pyskl - INFO - Epoch [119][3000/3746] lr: 1.030e-02, eta: 20:25:20, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4280, top5_acc: 0.6963, loss_cls: 3.6167, loss: 3.6167 +2024-01-02 18:52:27,642 - pyskl - INFO - Epoch [119][3100/3746] lr: 1.028e-02, eta: 20:24:15, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4298, top5_acc: 0.6872, loss_cls: 3.6231, loss: 3.6231 +2024-01-02 18:53:27,426 - pyskl - INFO - Epoch [119][3200/3746] lr: 1.027e-02, eta: 20:23:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4416, top5_acc: 0.7028, loss_cls: 3.5422, loss: 3.5422 +2024-01-02 18:54:27,458 - pyskl - INFO - Epoch [119][3300/3746] lr: 1.025e-02, eta: 20:22:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.6997, loss_cls: 3.5730, loss: 3.5730 +2024-01-02 18:55:28,013 - pyskl - INFO - Epoch [119][3400/3746] lr: 1.023e-02, eta: 20:21:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4366, top5_acc: 0.6880, loss_cls: 3.6174, loss: 3.6174 +2024-01-02 18:56:27,781 - pyskl - INFO - Epoch [119][3500/3746] lr: 1.022e-02, eta: 20:19:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4387, top5_acc: 0.6956, loss_cls: 3.6017, loss: 3.6017 +2024-01-02 18:57:28,106 - pyskl - INFO - Epoch [119][3600/3746] lr: 1.020e-02, eta: 20:18:50, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4398, top5_acc: 0.6956, loss_cls: 3.5801, loss: 3.5801 +2024-01-02 18:58:28,283 - pyskl - INFO - Epoch [119][3700/3746] lr: 1.018e-02, eta: 20:17:46, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4389, top5_acc: 0.6973, loss_cls: 3.5783, loss: 3.5783 +2024-01-02 18:58:58,036 - pyskl - INFO - Saving checkpoint at 119 epochs +2024-01-02 19:00:52,603 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 19:00:53,561 - pyskl - INFO - +top1_acc 0.3786 +top5_acc 0.6291 +2024-01-02 19:00:53,562 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 19:00:53,611 - pyskl - INFO - +mean_acc 0.3783 +2024-01-02 19:00:53,617 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_118.pth was removed +2024-01-02 19:00:53,943 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_119.pth. +2024-01-02 19:00:53,944 - pyskl - INFO - Best top1_acc is 0.3786 at 119 epoch. +2024-01-02 19:00:53,963 - pyskl - INFO - Epoch(val) [119][309] top1_acc: 0.3786, top5_acc: 0.6291, mean_class_accuracy: 0.3783 +2024-01-02 19:04:14,004 - pyskl - INFO - Epoch [120][100/3746] lr: 1.016e-02, eta: 20:17:33, time: 2.000, data_time: 1.405, memory: 16177, top1_acc: 0.4500, top5_acc: 0.7155, loss_cls: 3.5028, loss: 3.5028 +2024-01-02 19:05:13,382 - pyskl - INFO - Epoch [120][200/3746] lr: 1.014e-02, eta: 20:16:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7039, loss_cls: 3.5161, loss: 3.5161 +2024-01-02 19:06:12,963 - pyskl - INFO - Epoch [120][300/3746] lr: 1.012e-02, eta: 20:15:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4519, top5_acc: 0.7073, loss_cls: 3.5113, loss: 3.5113 +2024-01-02 19:07:12,770 - pyskl - INFO - Epoch [120][400/3746] lr: 1.011e-02, eta: 20:14:17, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4480, top5_acc: 0.7064, loss_cls: 3.5318, loss: 3.5318 +2024-01-02 19:08:12,392 - pyskl - INFO - Epoch [120][500/3746] lr: 1.009e-02, eta: 20:13:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4472, top5_acc: 0.7103, loss_cls: 3.5236, loss: 3.5236 +2024-01-02 19:09:12,032 - pyskl - INFO - Epoch [120][600/3746] lr: 1.007e-02, eta: 20:12:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4553, top5_acc: 0.7091, loss_cls: 3.5019, loss: 3.5019 +2024-01-02 19:10:11,439 - pyskl - INFO - Epoch [120][700/3746] lr: 1.006e-02, eta: 20:11:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4545, top5_acc: 0.7163, loss_cls: 3.5093, loss: 3.5093 +2024-01-02 19:11:10,921 - pyskl - INFO - Epoch [120][800/3746] lr: 1.004e-02, eta: 20:09:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4403, top5_acc: 0.7014, loss_cls: 3.5763, loss: 3.5763 +2024-01-02 19:12:10,286 - pyskl - INFO - Epoch [120][900/3746] lr: 1.002e-02, eta: 20:08:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7123, loss_cls: 3.4879, loss: 3.4879 +2024-01-02 19:13:09,800 - pyskl - INFO - Epoch [120][1000/3746] lr: 1.001e-02, eta: 20:07:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4544, top5_acc: 0.6975, loss_cls: 3.5672, loss: 3.5672 +2024-01-02 19:14:09,151 - pyskl - INFO - Epoch [120][1100/3746] lr: 9.989e-03, eta: 20:06:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4400, top5_acc: 0.7050, loss_cls: 3.5418, loss: 3.5418 +2024-01-02 19:15:08,442 - pyskl - INFO - Epoch [120][1200/3746] lr: 9.972e-03, eta: 20:05:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4600, top5_acc: 0.7089, loss_cls: 3.5133, loss: 3.5133 +2024-01-02 19:16:07,853 - pyskl - INFO - Epoch [120][1300/3746] lr: 9.955e-03, eta: 20:04:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4394, top5_acc: 0.7005, loss_cls: 3.5927, loss: 3.5927 +2024-01-02 19:17:07,499 - pyskl - INFO - Epoch [120][1400/3746] lr: 9.938e-03, eta: 20:03:22, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4419, top5_acc: 0.6913, loss_cls: 3.5856, loss: 3.5856 +2024-01-02 19:18:07,210 - pyskl - INFO - Epoch [120][1500/3746] lr: 9.922e-03, eta: 20:02:17, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4345, top5_acc: 0.6900, loss_cls: 3.5779, loss: 3.5779 +2024-01-02 19:19:06,994 - pyskl - INFO - Epoch [120][1600/3746] lr: 9.905e-03, eta: 20:01:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4462, top5_acc: 0.7019, loss_cls: 3.5594, loss: 3.5594 +2024-01-02 19:20:06,683 - pyskl - INFO - Epoch [120][1700/3746] lr: 9.888e-03, eta: 20:00:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.7022, loss_cls: 3.5533, loss: 3.5533 +2024-01-02 19:21:05,965 - pyskl - INFO - Epoch [120][1800/3746] lr: 9.871e-03, eta: 19:59:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4403, top5_acc: 0.6970, loss_cls: 3.5712, loss: 3.5712 +2024-01-02 19:22:05,411 - pyskl - INFO - Epoch [120][1900/3746] lr: 9.855e-03, eta: 19:57:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4342, top5_acc: 0.6859, loss_cls: 3.5971, loss: 3.5971 +2024-01-02 19:23:05,111 - pyskl - INFO - Epoch [120][2000/3746] lr: 9.838e-03, eta: 19:56:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4341, top5_acc: 0.6898, loss_cls: 3.6170, loss: 3.6170 +2024-01-02 19:24:05,190 - pyskl - INFO - Epoch [120][2100/3746] lr: 9.821e-03, eta: 19:55:45, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4311, top5_acc: 0.6977, loss_cls: 3.5928, loss: 3.5928 +2024-01-02 19:25:04,992 - pyskl - INFO - Epoch [120][2200/3746] lr: 9.805e-03, eta: 19:54:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4436, top5_acc: 0.7052, loss_cls: 3.5606, loss: 3.5606 +2024-01-02 19:26:04,824 - pyskl - INFO - Epoch [120][2300/3746] lr: 9.788e-03, eta: 19:53:35, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4387, top5_acc: 0.7002, loss_cls: 3.5699, loss: 3.5699 +2024-01-02 19:27:04,440 - pyskl - INFO - Epoch [120][2400/3746] lr: 9.772e-03, eta: 19:52:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4416, top5_acc: 0.6972, loss_cls: 3.5753, loss: 3.5753 +2024-01-02 19:28:04,465 - pyskl - INFO - Epoch [120][2500/3746] lr: 9.755e-03, eta: 19:51:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4520, top5_acc: 0.7061, loss_cls: 3.5267, loss: 3.5267 +2024-01-02 19:29:04,141 - pyskl - INFO - Epoch [120][2600/3746] lr: 9.738e-03, eta: 19:50:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4384, top5_acc: 0.6936, loss_cls: 3.5834, loss: 3.5834 +2024-01-02 19:30:04,046 - pyskl - INFO - Epoch [120][2700/3746] lr: 9.722e-03, eta: 19:49:15, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4472, top5_acc: 0.6972, loss_cls: 3.5922, loss: 3.5922 +2024-01-02 19:31:03,550 - pyskl - INFO - Epoch [120][2800/3746] lr: 9.705e-03, eta: 19:48:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4364, top5_acc: 0.6980, loss_cls: 3.5762, loss: 3.5762 +2024-01-02 19:32:02,529 - pyskl - INFO - Epoch [120][2900/3746] lr: 9.689e-03, eta: 19:47:04, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4462, top5_acc: 0.6981, loss_cls: 3.5827, loss: 3.5827 +2024-01-02 19:33:02,489 - pyskl - INFO - Epoch [120][3000/3746] lr: 9.672e-03, eta: 19:45:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4420, top5_acc: 0.7017, loss_cls: 3.5934, loss: 3.5934 +2024-01-02 19:34:02,963 - pyskl - INFO - Epoch [120][3100/3746] lr: 9.656e-03, eta: 19:44:54, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4458, top5_acc: 0.7011, loss_cls: 3.5837, loss: 3.5837 +2024-01-02 19:35:02,552 - pyskl - INFO - Epoch [120][3200/3746] lr: 9.639e-03, eta: 19:43:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4344, top5_acc: 0.6919, loss_cls: 3.5894, loss: 3.5894 +2024-01-02 19:36:01,964 - pyskl - INFO - Epoch [120][3300/3746] lr: 9.623e-03, eta: 19:42:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4397, top5_acc: 0.7005, loss_cls: 3.5921, loss: 3.5921 +2024-01-02 19:37:01,306 - pyskl - INFO - Epoch [120][3400/3746] lr: 9.606e-03, eta: 19:41:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4400, top5_acc: 0.6903, loss_cls: 3.5878, loss: 3.5878 +2024-01-02 19:38:01,078 - pyskl - INFO - Epoch [120][3500/3746] lr: 9.590e-03, eta: 19:40:33, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4398, top5_acc: 0.6955, loss_cls: 3.5812, loss: 3.5812 +2024-01-02 19:39:01,490 - pyskl - INFO - Epoch [120][3600/3746] lr: 9.573e-03, eta: 19:39:28, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4378, top5_acc: 0.7005, loss_cls: 3.5912, loss: 3.5912 +2024-01-02 19:40:01,955 - pyskl - INFO - Epoch [120][3700/3746] lr: 9.557e-03, eta: 19:38:24, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4406, top5_acc: 0.6967, loss_cls: 3.5965, loss: 3.5965 +2024-01-02 19:40:32,184 - pyskl - INFO - Saving checkpoint at 120 epochs +2024-01-02 19:42:28,664 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 19:42:29,716 - pyskl - INFO - +top1_acc 0.3743 +top5_acc 0.6290 +2024-01-02 19:42:29,717 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 19:42:29,752 - pyskl - INFO - +mean_acc 0.3740 +2024-01-02 19:42:29,761 - pyskl - INFO - Epoch(val) [120][309] top1_acc: 0.3743, top5_acc: 0.6290, mean_class_accuracy: 0.3740 +2024-01-02 19:45:50,970 - pyskl - INFO - Epoch [121][100/3746] lr: 9.533e-03, eta: 19:38:08, time: 2.012, data_time: 1.420, memory: 16177, top1_acc: 0.4562, top5_acc: 0.7222, loss_cls: 3.4833, loss: 3.4833 +2024-01-02 19:46:50,160 - pyskl - INFO - Epoch [121][200/3746] lr: 9.516e-03, eta: 19:37:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4556, top5_acc: 0.7139, loss_cls: 3.4949, loss: 3.4949 +2024-01-02 19:47:49,335 - pyskl - INFO - Epoch [121][300/3746] lr: 9.500e-03, eta: 19:35:57, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4698, top5_acc: 0.7198, loss_cls: 3.4642, loss: 3.4642 +2024-01-02 19:48:48,343 - pyskl - INFO - Epoch [121][400/3746] lr: 9.484e-03, eta: 19:34:51, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.7061, loss_cls: 3.5356, loss: 3.5356 +2024-01-02 19:49:47,399 - pyskl - INFO - Epoch [121][500/3746] lr: 9.467e-03, eta: 19:33:46, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4519, top5_acc: 0.7084, loss_cls: 3.5440, loss: 3.5440 +2024-01-02 19:50:46,527 - pyskl - INFO - Epoch [121][600/3746] lr: 9.451e-03, eta: 19:32:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4473, top5_acc: 0.7083, loss_cls: 3.5253, loss: 3.5253 +2024-01-02 19:51:46,138 - pyskl - INFO - Epoch [121][700/3746] lr: 9.435e-03, eta: 19:31:35, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4581, top5_acc: 0.7170, loss_cls: 3.4820, loss: 3.4820 +2024-01-02 19:52:45,384 - pyskl - INFO - Epoch [121][800/3746] lr: 9.418e-03, eta: 19:30:29, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4517, top5_acc: 0.7084, loss_cls: 3.5332, loss: 3.5332 +2024-01-02 19:53:45,020 - pyskl - INFO - Epoch [121][900/3746] lr: 9.402e-03, eta: 19:29:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4475, top5_acc: 0.7017, loss_cls: 3.5379, loss: 3.5379 +2024-01-02 19:54:44,365 - pyskl - INFO - Epoch [121][1000/3746] lr: 9.386e-03, eta: 19:28:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4509, top5_acc: 0.7061, loss_cls: 3.5472, loss: 3.5472 +2024-01-02 19:55:44,030 - pyskl - INFO - Epoch [121][1100/3746] lr: 9.369e-03, eta: 19:27:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4611, top5_acc: 0.7119, loss_cls: 3.5056, loss: 3.5056 +2024-01-02 19:56:43,509 - pyskl - INFO - Epoch [121][1200/3746] lr: 9.353e-03, eta: 19:26:08, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4431, top5_acc: 0.7037, loss_cls: 3.5496, loss: 3.5496 +2024-01-02 19:57:43,084 - pyskl - INFO - Epoch [121][1300/3746] lr: 9.337e-03, eta: 19:25:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4498, top5_acc: 0.7084, loss_cls: 3.5126, loss: 3.5126 +2024-01-02 19:58:42,301 - pyskl - INFO - Epoch [121][1400/3746] lr: 9.321e-03, eta: 19:23:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4428, top5_acc: 0.7013, loss_cls: 3.5355, loss: 3.5355 +2024-01-02 19:59:41,862 - pyskl - INFO - Epoch [121][1500/3746] lr: 9.304e-03, eta: 19:22:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4489, top5_acc: 0.6959, loss_cls: 3.5410, loss: 3.5410 +2024-01-02 20:00:41,471 - pyskl - INFO - Epoch [121][1600/3746] lr: 9.288e-03, eta: 19:21:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4623, top5_acc: 0.7214, loss_cls: 3.4829, loss: 3.4829 +2024-01-02 20:01:41,452 - pyskl - INFO - Epoch [121][1700/3746] lr: 9.272e-03, eta: 19:20:42, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4420, top5_acc: 0.7045, loss_cls: 3.5534, loss: 3.5534 +2024-01-02 20:02:40,501 - pyskl - INFO - Epoch [121][1800/3746] lr: 9.256e-03, eta: 19:19:37, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4411, top5_acc: 0.6980, loss_cls: 3.5597, loss: 3.5597 +2024-01-02 20:03:39,816 - pyskl - INFO - Epoch [121][1900/3746] lr: 9.239e-03, eta: 19:18:31, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4487, top5_acc: 0.7002, loss_cls: 3.5554, loss: 3.5554 +2024-01-02 20:04:39,248 - pyskl - INFO - Epoch [121][2000/3746] lr: 9.223e-03, eta: 19:17:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4400, top5_acc: 0.6950, loss_cls: 3.5842, loss: 3.5842 +2024-01-02 20:05:38,635 - pyskl - INFO - Epoch [121][2100/3746] lr: 9.207e-03, eta: 19:16:21, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4591, top5_acc: 0.7084, loss_cls: 3.5192, loss: 3.5192 +2024-01-02 20:06:37,769 - pyskl - INFO - Epoch [121][2200/3746] lr: 9.191e-03, eta: 19:15:15, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4552, top5_acc: 0.7081, loss_cls: 3.5054, loss: 3.5054 +2024-01-02 20:07:37,055 - pyskl - INFO - Epoch [121][2300/3746] lr: 9.175e-03, eta: 19:14:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4445, top5_acc: 0.6997, loss_cls: 3.5855, loss: 3.5855 +2024-01-02 20:08:36,875 - pyskl - INFO - Epoch [121][2400/3746] lr: 9.159e-03, eta: 19:13:05, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4442, top5_acc: 0.7031, loss_cls: 3.5678, loss: 3.5678 +2024-01-02 20:09:36,036 - pyskl - INFO - Epoch [121][2500/3746] lr: 9.142e-03, eta: 19:12:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4444, top5_acc: 0.7006, loss_cls: 3.5449, loss: 3.5449 +2024-01-02 20:10:35,194 - pyskl - INFO - Epoch [121][2600/3746] lr: 9.126e-03, eta: 19:10:54, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4484, top5_acc: 0.7016, loss_cls: 3.5302, loss: 3.5302 +2024-01-02 20:11:34,273 - pyskl - INFO - Epoch [121][2700/3746] lr: 9.110e-03, eta: 19:09:49, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4478, top5_acc: 0.7105, loss_cls: 3.5344, loss: 3.5344 +2024-01-02 20:12:33,712 - pyskl - INFO - Epoch [121][2800/3746] lr: 9.094e-03, eta: 19:08:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4359, top5_acc: 0.7019, loss_cls: 3.5709, loss: 3.5709 +2024-01-02 20:13:33,104 - pyskl - INFO - Epoch [121][2900/3746] lr: 9.078e-03, eta: 19:07:38, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4425, top5_acc: 0.7016, loss_cls: 3.5408, loss: 3.5408 +2024-01-02 20:14:33,928 - pyskl - INFO - Epoch [121][3000/3746] lr: 9.062e-03, eta: 19:06:34, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4409, top5_acc: 0.6864, loss_cls: 3.6221, loss: 3.6221 +2024-01-02 20:15:34,297 - pyskl - INFO - Epoch [121][3100/3746] lr: 9.046e-03, eta: 19:05:29, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4503, top5_acc: 0.6987, loss_cls: 3.5684, loss: 3.5684 +2024-01-02 20:16:33,344 - pyskl - INFO - Epoch [121][3200/3746] lr: 9.030e-03, eta: 19:04:24, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4511, top5_acc: 0.7027, loss_cls: 3.5419, loss: 3.5419 +2024-01-02 20:17:32,555 - pyskl - INFO - Epoch [121][3300/3746] lr: 9.014e-03, eta: 19:03:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4497, top5_acc: 0.7017, loss_cls: 3.5307, loss: 3.5307 +2024-01-02 20:18:32,300 - pyskl - INFO - Epoch [121][3400/3746] lr: 8.998e-03, eta: 19:02:14, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4286, top5_acc: 0.6964, loss_cls: 3.5889, loss: 3.5889 +2024-01-02 20:19:32,035 - pyskl - INFO - Epoch [121][3500/3746] lr: 8.982e-03, eta: 19:01:09, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4314, top5_acc: 0.6937, loss_cls: 3.5928, loss: 3.5928 +2024-01-02 20:20:32,274 - pyskl - INFO - Epoch [121][3600/3746] lr: 8.966e-03, eta: 19:00:04, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4528, top5_acc: 0.7055, loss_cls: 3.5390, loss: 3.5390 +2024-01-02 20:21:32,917 - pyskl - INFO - Epoch [121][3700/3746] lr: 8.950e-03, eta: 18:59:00, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4547, top5_acc: 0.7045, loss_cls: 3.5405, loss: 3.5405 +2024-01-02 20:22:03,143 - pyskl - INFO - Saving checkpoint at 121 epochs +2024-01-02 20:23:59,801 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 20:24:00,630 - pyskl - INFO - +top1_acc 0.3815 +top5_acc 0.6263 +2024-01-02 20:24:00,630 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 20:24:00,665 - pyskl - INFO - +mean_acc 0.3812 +2024-01-02 20:24:00,671 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_119.pth was removed +2024-01-02 20:24:00,990 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_121.pth. +2024-01-02 20:24:00,990 - pyskl - INFO - Best top1_acc is 0.3815 at 121 epoch. +2024-01-02 20:24:00,998 - pyskl - INFO - Epoch(val) [121][309] top1_acc: 0.3815, top5_acc: 0.6263, mean_class_accuracy: 0.3812 +2024-01-02 20:27:24,016 - pyskl - INFO - Epoch [122][100/3746] lr: 8.927e-03, eta: 18:58:41, time: 2.030, data_time: 1.422, memory: 16177, top1_acc: 0.4642, top5_acc: 0.7197, loss_cls: 3.4379, loss: 3.4379 +2024-01-02 20:28:23,722 - pyskl - INFO - Epoch [122][200/3746] lr: 8.911e-03, eta: 18:57:36, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4587, top5_acc: 0.7152, loss_cls: 3.4773, loss: 3.4773 +2024-01-02 20:29:23,075 - pyskl - INFO - Epoch [122][300/3746] lr: 8.895e-03, eta: 18:56:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4738, top5_acc: 0.7280, loss_cls: 3.3991, loss: 3.3991 +2024-01-02 20:30:22,877 - pyskl - INFO - Epoch [122][400/3746] lr: 8.879e-03, eta: 18:55:26, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4706, top5_acc: 0.7183, loss_cls: 3.4593, loss: 3.4593 +2024-01-02 20:31:22,368 - pyskl - INFO - Epoch [122][500/3746] lr: 8.863e-03, eta: 18:54:20, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4614, top5_acc: 0.7072, loss_cls: 3.4941, loss: 3.4941 +2024-01-02 20:32:21,890 - pyskl - INFO - Epoch [122][600/3746] lr: 8.847e-03, eta: 18:53:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4492, top5_acc: 0.7114, loss_cls: 3.5167, loss: 3.5167 +2024-01-02 20:33:21,451 - pyskl - INFO - Epoch [122][700/3746] lr: 8.831e-03, eta: 18:52:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4484, top5_acc: 0.7100, loss_cls: 3.5038, loss: 3.5038 +2024-01-02 20:34:20,946 - pyskl - INFO - Epoch [122][800/3746] lr: 8.815e-03, eta: 18:51:05, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4628, top5_acc: 0.7080, loss_cls: 3.4651, loss: 3.4651 +2024-01-02 20:35:20,588 - pyskl - INFO - Epoch [122][900/3746] lr: 8.800e-03, eta: 18:50:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4580, top5_acc: 0.7113, loss_cls: 3.4909, loss: 3.4909 +2024-01-02 20:36:19,845 - pyskl - INFO - Epoch [122][1000/3746] lr: 8.784e-03, eta: 18:48:54, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7125, loss_cls: 3.5136, loss: 3.5136 +2024-01-02 20:37:19,182 - pyskl - INFO - Epoch [122][1100/3746] lr: 8.768e-03, eta: 18:47:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4545, top5_acc: 0.7041, loss_cls: 3.5309, loss: 3.5309 +2024-01-02 20:38:18,418 - pyskl - INFO - Epoch [122][1200/3746] lr: 8.752e-03, eta: 18:46:44, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4502, top5_acc: 0.6991, loss_cls: 3.5440, loss: 3.5440 +2024-01-02 20:39:17,673 - pyskl - INFO - Epoch [122][1300/3746] lr: 8.736e-03, eta: 18:45:39, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4506, top5_acc: 0.7050, loss_cls: 3.5304, loss: 3.5304 +2024-01-02 20:40:16,934 - pyskl - INFO - Epoch [122][1400/3746] lr: 8.721e-03, eta: 18:44:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4512, top5_acc: 0.7114, loss_cls: 3.4908, loss: 3.4908 +2024-01-02 20:41:16,284 - pyskl - INFO - Epoch [122][1500/3746] lr: 8.705e-03, eta: 18:43:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4514, top5_acc: 0.7117, loss_cls: 3.5057, loss: 3.5057 +2024-01-02 20:42:15,825 - pyskl - INFO - Epoch [122][1600/3746] lr: 8.689e-03, eta: 18:42:23, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4578, top5_acc: 0.7219, loss_cls: 3.4670, loss: 3.4670 +2024-01-02 20:43:16,971 - pyskl - INFO - Epoch [122][1700/3746] lr: 8.673e-03, eta: 18:41:19, time: 0.611, data_time: 0.000, memory: 16177, top1_acc: 0.4509, top5_acc: 0.7061, loss_cls: 3.5407, loss: 3.5407 +2024-01-02 20:44:17,089 - pyskl - INFO - Epoch [122][1800/3746] lr: 8.658e-03, eta: 18:40:14, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4655, top5_acc: 0.7147, loss_cls: 3.4817, loss: 3.4817 +2024-01-02 20:45:16,271 - pyskl - INFO - Epoch [122][1900/3746] lr: 8.642e-03, eta: 18:39:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4416, top5_acc: 0.7152, loss_cls: 3.5535, loss: 3.5535 +2024-01-02 20:46:16,057 - pyskl - INFO - Epoch [122][2000/3746] lr: 8.626e-03, eta: 18:38:04, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7073, loss_cls: 3.5009, loss: 3.5009 +2024-01-02 20:47:15,424 - pyskl - INFO - Epoch [122][2100/3746] lr: 8.610e-03, eta: 18:36:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4602, top5_acc: 0.7166, loss_cls: 3.4823, loss: 3.4823 +2024-01-02 20:48:15,203 - pyskl - INFO - Epoch [122][2200/3746] lr: 8.595e-03, eta: 18:35:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4481, top5_acc: 0.6989, loss_cls: 3.5472, loss: 3.5472 +2024-01-02 20:49:14,570 - pyskl - INFO - Epoch [122][2300/3746] lr: 8.579e-03, eta: 18:34:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4577, top5_acc: 0.7159, loss_cls: 3.5013, loss: 3.5013 +2024-01-02 20:50:14,114 - pyskl - INFO - Epoch [122][2400/3746] lr: 8.563e-03, eta: 18:33:44, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4512, top5_acc: 0.7056, loss_cls: 3.5170, loss: 3.5170 +2024-01-02 20:51:13,893 - pyskl - INFO - Epoch [122][2500/3746] lr: 8.548e-03, eta: 18:32:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4467, top5_acc: 0.7058, loss_cls: 3.5384, loss: 3.5384 +2024-01-02 20:52:13,445 - pyskl - INFO - Epoch [122][2600/3746] lr: 8.532e-03, eta: 18:31:34, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4578, top5_acc: 0.7161, loss_cls: 3.4926, loss: 3.4926 +2024-01-02 20:53:12,931 - pyskl - INFO - Epoch [122][2700/3746] lr: 8.517e-03, eta: 18:30:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4587, top5_acc: 0.7109, loss_cls: 3.4870, loss: 3.4870 +2024-01-02 20:54:12,320 - pyskl - INFO - Epoch [122][2800/3746] lr: 8.501e-03, eta: 18:29:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4542, top5_acc: 0.7083, loss_cls: 3.5227, loss: 3.5227 +2024-01-02 20:55:12,362 - pyskl - INFO - Epoch [122][2900/3746] lr: 8.485e-03, eta: 18:28:19, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4480, top5_acc: 0.7097, loss_cls: 3.5425, loss: 3.5425 +2024-01-02 20:56:13,135 - pyskl - INFO - Epoch [122][3000/3746] lr: 8.470e-03, eta: 18:27:15, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.4420, top5_acc: 0.7036, loss_cls: 3.5552, loss: 3.5552 +2024-01-02 20:57:12,724 - pyskl - INFO - Epoch [122][3100/3746] lr: 8.454e-03, eta: 18:26:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4447, top5_acc: 0.7053, loss_cls: 3.5199, loss: 3.5199 +2024-01-02 20:58:12,058 - pyskl - INFO - Epoch [122][3200/3746] lr: 8.439e-03, eta: 18:25:05, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4489, top5_acc: 0.7095, loss_cls: 3.5260, loss: 3.5260 +2024-01-02 20:59:11,546 - pyskl - INFO - Epoch [122][3300/3746] lr: 8.423e-03, eta: 18:24:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4500, top5_acc: 0.7031, loss_cls: 3.5199, loss: 3.5199 +2024-01-02 21:00:11,338 - pyskl - INFO - Epoch [122][3400/3746] lr: 8.408e-03, eta: 18:22:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4495, top5_acc: 0.7058, loss_cls: 3.5267, loss: 3.5267 +2024-01-02 21:01:11,340 - pyskl - INFO - Epoch [122][3500/3746] lr: 8.392e-03, eta: 18:21:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4487, top5_acc: 0.7030, loss_cls: 3.5640, loss: 3.5640 +2024-01-02 21:02:11,700 - pyskl - INFO - Epoch [122][3600/3746] lr: 8.377e-03, eta: 18:20:46, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4464, top5_acc: 0.7037, loss_cls: 3.5517, loss: 3.5517 +2024-01-02 21:03:12,292 - pyskl - INFO - Epoch [122][3700/3746] lr: 8.361e-03, eta: 18:19:41, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4506, top5_acc: 0.7094, loss_cls: 3.5154, loss: 3.5154 +2024-01-02 21:03:42,384 - pyskl - INFO - Saving checkpoint at 122 epochs +2024-01-02 21:05:37,618 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 21:05:38,550 - pyskl - INFO - +top1_acc 0.3876 +top5_acc 0.6416 +2024-01-02 21:05:38,550 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 21:05:38,590 - pyskl - INFO - +mean_acc 0.3874 +2024-01-02 21:05:38,596 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_121.pth was removed +2024-01-02 21:05:38,937 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_122.pth. +2024-01-02 21:05:38,938 - pyskl - INFO - Best top1_acc is 0.3876 at 122 epoch. +2024-01-02 21:05:38,949 - pyskl - INFO - Epoch(val) [122][309] top1_acc: 0.3876, top5_acc: 0.6416, mean_class_accuracy: 0.3874 +2024-01-02 21:08:55,921 - pyskl - INFO - Epoch [123][100/3746] lr: 8.339e-03, eta: 18:19:15, time: 1.970, data_time: 1.377, memory: 16177, top1_acc: 0.4695, top5_acc: 0.7269, loss_cls: 3.4189, loss: 3.4189 +2024-01-02 21:09:55,238 - pyskl - INFO - Epoch [123][200/3746] lr: 8.323e-03, eta: 18:18:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4680, top5_acc: 0.7191, loss_cls: 3.4497, loss: 3.4497 +2024-01-02 21:10:54,644 - pyskl - INFO - Epoch [123][300/3746] lr: 8.308e-03, eta: 18:17:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4655, top5_acc: 0.7206, loss_cls: 3.4491, loss: 3.4491 +2024-01-02 21:11:54,074 - pyskl - INFO - Epoch [123][400/3746] lr: 8.292e-03, eta: 18:15:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4555, top5_acc: 0.7261, loss_cls: 3.4421, loss: 3.4421 +2024-01-02 21:12:53,657 - pyskl - INFO - Epoch [123][500/3746] lr: 8.277e-03, eta: 18:14:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4692, top5_acc: 0.7184, loss_cls: 3.4560, loss: 3.4560 +2024-01-02 21:13:53,093 - pyskl - INFO - Epoch [123][600/3746] lr: 8.262e-03, eta: 18:13:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4566, top5_acc: 0.7166, loss_cls: 3.4624, loss: 3.4624 +2024-01-02 21:14:52,936 - pyskl - INFO - Epoch [123][700/3746] lr: 8.246e-03, eta: 18:12:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4644, top5_acc: 0.7197, loss_cls: 3.4456, loss: 3.4456 +2024-01-02 21:15:52,725 - pyskl - INFO - Epoch [123][800/3746] lr: 8.231e-03, eta: 18:11:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4698, top5_acc: 0.7125, loss_cls: 3.4547, loss: 3.4547 +2024-01-02 21:16:51,967 - pyskl - INFO - Epoch [123][900/3746] lr: 8.215e-03, eta: 18:10:34, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4606, top5_acc: 0.7139, loss_cls: 3.4843, loss: 3.4843 +2024-01-02 21:17:51,299 - pyskl - INFO - Epoch [123][1000/3746] lr: 8.200e-03, eta: 18:09:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4581, top5_acc: 0.7238, loss_cls: 3.4484, loss: 3.4484 +2024-01-02 21:18:50,946 - pyskl - INFO - Epoch [123][1100/3746] lr: 8.185e-03, eta: 18:08:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4511, top5_acc: 0.7045, loss_cls: 3.5450, loss: 3.5450 +2024-01-02 21:19:50,379 - pyskl - INFO - Epoch [123][1200/3746] lr: 8.169e-03, eta: 18:07:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4562, top5_acc: 0.7052, loss_cls: 3.5120, loss: 3.5120 +2024-01-02 21:20:49,757 - pyskl - INFO - Epoch [123][1300/3746] lr: 8.154e-03, eta: 18:06:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4587, top5_acc: 0.7167, loss_cls: 3.4715, loss: 3.4715 +2024-01-02 21:21:49,389 - pyskl - INFO - Epoch [123][1400/3746] lr: 8.139e-03, eta: 18:05:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4558, top5_acc: 0.7087, loss_cls: 3.4780, loss: 3.4780 +2024-01-02 21:22:48,828 - pyskl - INFO - Epoch [123][1500/3746] lr: 8.124e-03, eta: 18:04:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4666, top5_acc: 0.7203, loss_cls: 3.4316, loss: 3.4316 +2024-01-02 21:23:48,732 - pyskl - INFO - Epoch [123][1600/3746] lr: 8.108e-03, eta: 18:03:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4616, top5_acc: 0.7125, loss_cls: 3.4832, loss: 3.4832 +2024-01-02 21:24:48,198 - pyskl - INFO - Epoch [123][1700/3746] lr: 8.093e-03, eta: 18:01:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7189, loss_cls: 3.4731, loss: 3.4731 +2024-01-02 21:25:48,363 - pyskl - INFO - Epoch [123][1800/3746] lr: 8.078e-03, eta: 18:00:50, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4505, top5_acc: 0.7083, loss_cls: 3.5220, loss: 3.5220 +2024-01-02 21:26:47,872 - pyskl - INFO - Epoch [123][1900/3746] lr: 8.063e-03, eta: 17:59:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4516, top5_acc: 0.7031, loss_cls: 3.5383, loss: 3.5383 +2024-01-02 21:27:46,982 - pyskl - INFO - Epoch [123][2000/3746] lr: 8.047e-03, eta: 17:58:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4580, top5_acc: 0.7119, loss_cls: 3.4970, loss: 3.4970 +2024-01-02 21:28:46,436 - pyskl - INFO - Epoch [123][2100/3746] lr: 8.032e-03, eta: 17:57:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7081, loss_cls: 3.5009, loss: 3.5009 +2024-01-02 21:29:45,795 - pyskl - INFO - Epoch [123][2200/3746] lr: 8.017e-03, eta: 17:56:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4581, top5_acc: 0.7206, loss_cls: 3.4782, loss: 3.4782 +2024-01-02 21:30:45,303 - pyskl - INFO - Epoch [123][2300/3746] lr: 8.002e-03, eta: 17:55:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4517, top5_acc: 0.7127, loss_cls: 3.5093, loss: 3.5093 +2024-01-02 21:31:45,102 - pyskl - INFO - Epoch [123][2400/3746] lr: 7.987e-03, eta: 17:54:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4483, top5_acc: 0.7005, loss_cls: 3.5555, loss: 3.5555 +2024-01-02 21:32:44,467 - pyskl - INFO - Epoch [123][2500/3746] lr: 7.971e-03, eta: 17:53:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4634, top5_acc: 0.7123, loss_cls: 3.4820, loss: 3.4820 +2024-01-02 21:33:43,866 - pyskl - INFO - Epoch [123][2600/3746] lr: 7.956e-03, eta: 17:52:10, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4548, top5_acc: 0.7027, loss_cls: 3.5458, loss: 3.5458 +2024-01-02 21:34:43,292 - pyskl - INFO - Epoch [123][2700/3746] lr: 7.941e-03, eta: 17:51:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4525, top5_acc: 0.7066, loss_cls: 3.5126, loss: 3.5126 +2024-01-02 21:35:42,780 - pyskl - INFO - Epoch [123][2800/3746] lr: 7.926e-03, eta: 17:50:00, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4559, top5_acc: 0.7134, loss_cls: 3.4992, loss: 3.4992 +2024-01-02 21:36:42,223 - pyskl - INFO - Epoch [123][2900/3746] lr: 7.911e-03, eta: 17:48:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4609, top5_acc: 0.7100, loss_cls: 3.4903, loss: 3.4903 +2024-01-02 21:37:42,563 - pyskl - INFO - Epoch [123][3000/3746] lr: 7.896e-03, eta: 17:47:51, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4567, top5_acc: 0.7127, loss_cls: 3.4998, loss: 3.4998 +2024-01-02 21:38:42,448 - pyskl - INFO - Epoch [123][3100/3746] lr: 7.881e-03, eta: 17:46:46, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4497, top5_acc: 0.7105, loss_cls: 3.4987, loss: 3.4987 +2024-01-02 21:39:41,842 - pyskl - INFO - Epoch [123][3200/3746] lr: 7.866e-03, eta: 17:45:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4533, top5_acc: 0.7105, loss_cls: 3.5023, loss: 3.5023 +2024-01-02 21:40:41,596 - pyskl - INFO - Epoch [123][3300/3746] lr: 7.851e-03, eta: 17:44:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4602, top5_acc: 0.7111, loss_cls: 3.4884, loss: 3.4884 +2024-01-02 21:41:40,657 - pyskl - INFO - Epoch [123][3400/3746] lr: 7.836e-03, eta: 17:43:31, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4517, top5_acc: 0.7061, loss_cls: 3.5291, loss: 3.5291 +2024-01-02 21:42:40,158 - pyskl - INFO - Epoch [123][3500/3746] lr: 7.821e-03, eta: 17:42:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7128, loss_cls: 3.4794, loss: 3.4794 +2024-01-02 21:43:40,643 - pyskl - INFO - Epoch [123][3600/3746] lr: 7.806e-03, eta: 17:41:22, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4487, top5_acc: 0.7072, loss_cls: 3.5157, loss: 3.5157 +2024-01-02 21:44:40,543 - pyskl - INFO - Epoch [123][3700/3746] lr: 7.791e-03, eta: 17:40:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4523, top5_acc: 0.7145, loss_cls: 3.4849, loss: 3.4849 +2024-01-02 21:45:10,580 - pyskl - INFO - Saving checkpoint at 123 epochs +2024-01-02 21:47:01,325 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 21:47:02,172 - pyskl - INFO - +top1_acc 0.3862 +top5_acc 0.6385 +2024-01-02 21:47:02,172 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 21:47:02,204 - pyskl - INFO - +mean_acc 0.3859 +2024-01-02 21:47:02,214 - pyskl - INFO - Epoch(val) [123][309] top1_acc: 0.3862, top5_acc: 0.6385, mean_class_accuracy: 0.3859 +2024-01-02 21:50:20,210 - pyskl - INFO - Epoch [124][100/3746] lr: 7.769e-03, eta: 17:39:48, time: 1.980, data_time: 1.382, memory: 16177, top1_acc: 0.4819, top5_acc: 0.7366, loss_cls: 3.3615, loss: 3.3615 +2024-01-02 21:51:19,749 - pyskl - INFO - Epoch [124][200/3746] lr: 7.754e-03, eta: 17:38:43, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4730, top5_acc: 0.7244, loss_cls: 3.4120, loss: 3.4120 +2024-01-02 21:52:19,448 - pyskl - INFO - Epoch [124][300/3746] lr: 7.739e-03, eta: 17:37:38, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4788, top5_acc: 0.7270, loss_cls: 3.3933, loss: 3.3933 +2024-01-02 21:53:18,659 - pyskl - INFO - Epoch [124][400/3746] lr: 7.724e-03, eta: 17:36:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4645, top5_acc: 0.7180, loss_cls: 3.4697, loss: 3.4697 +2024-01-02 21:54:17,940 - pyskl - INFO - Epoch [124][500/3746] lr: 7.709e-03, eta: 17:35:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4658, top5_acc: 0.7244, loss_cls: 3.4290, loss: 3.4290 +2024-01-02 21:55:17,040 - pyskl - INFO - Epoch [124][600/3746] lr: 7.694e-03, eta: 17:34:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4641, top5_acc: 0.7186, loss_cls: 3.4449, loss: 3.4449 +2024-01-02 21:56:15,877 - pyskl - INFO - Epoch [124][700/3746] lr: 7.679e-03, eta: 17:33:18, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4705, top5_acc: 0.7183, loss_cls: 3.4298, loss: 3.4298 +2024-01-02 21:57:14,940 - pyskl - INFO - Epoch [124][800/3746] lr: 7.664e-03, eta: 17:32:13, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4611, top5_acc: 0.7127, loss_cls: 3.4905, loss: 3.4905 +2024-01-02 21:58:14,073 - pyskl - INFO - Epoch [124][900/3746] lr: 7.649e-03, eta: 17:31:08, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4597, top5_acc: 0.7222, loss_cls: 3.4669, loss: 3.4669 +2024-01-02 21:59:13,299 - pyskl - INFO - Epoch [124][1000/3746] lr: 7.635e-03, eta: 17:30:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4655, top5_acc: 0.7239, loss_cls: 3.4313, loss: 3.4313 +2024-01-02 22:00:13,199 - pyskl - INFO - Epoch [124][1100/3746] lr: 7.620e-03, eta: 17:28:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4664, top5_acc: 0.7248, loss_cls: 3.4486, loss: 3.4486 +2024-01-02 22:01:12,574 - pyskl - INFO - Epoch [124][1200/3746] lr: 7.605e-03, eta: 17:27:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4600, top5_acc: 0.7186, loss_cls: 3.4700, loss: 3.4700 +2024-01-02 22:02:11,884 - pyskl - INFO - Epoch [124][1300/3746] lr: 7.590e-03, eta: 17:26:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4567, top5_acc: 0.7127, loss_cls: 3.4841, loss: 3.4841 +2024-01-02 22:03:11,075 - pyskl - INFO - Epoch [124][1400/3746] lr: 7.575e-03, eta: 17:25:43, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4744, top5_acc: 0.7252, loss_cls: 3.4229, loss: 3.4229 +2024-01-02 22:04:10,315 - pyskl - INFO - Epoch [124][1500/3746] lr: 7.561e-03, eta: 17:24:38, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4594, top5_acc: 0.7189, loss_cls: 3.4476, loss: 3.4476 +2024-01-02 22:05:09,610 - pyskl - INFO - Epoch [124][1600/3746] lr: 7.546e-03, eta: 17:23:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4675, top5_acc: 0.7223, loss_cls: 3.3907, loss: 3.3907 +2024-01-02 22:06:10,062 - pyskl - INFO - Epoch [124][1700/3746] lr: 7.531e-03, eta: 17:22:29, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7203, loss_cls: 3.4641, loss: 3.4641 +2024-01-02 22:07:10,004 - pyskl - INFO - Epoch [124][1800/3746] lr: 7.516e-03, eta: 17:21:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4583, top5_acc: 0.7131, loss_cls: 3.4713, loss: 3.4713 +2024-01-02 22:08:09,472 - pyskl - INFO - Epoch [124][1900/3746] lr: 7.502e-03, eta: 17:20:19, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4686, top5_acc: 0.7247, loss_cls: 3.4329, loss: 3.4329 +2024-01-02 22:09:08,773 - pyskl - INFO - Epoch [124][2000/3746] lr: 7.487e-03, eta: 17:19:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4686, top5_acc: 0.7125, loss_cls: 3.4641, loss: 3.4641 +2024-01-02 22:10:08,318 - pyskl - INFO - Epoch [124][2100/3746] lr: 7.472e-03, eta: 17:18:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4619, top5_acc: 0.7181, loss_cls: 3.4779, loss: 3.4779 +2024-01-02 22:11:07,524 - pyskl - INFO - Epoch [124][2200/3746] lr: 7.457e-03, eta: 17:17:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4598, top5_acc: 0.7155, loss_cls: 3.4521, loss: 3.4521 +2024-01-02 22:12:06,706 - pyskl - INFO - Epoch [124][2300/3746] lr: 7.443e-03, eta: 17:15:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4594, top5_acc: 0.7155, loss_cls: 3.4805, loss: 3.4805 +2024-01-02 22:13:06,055 - pyskl - INFO - Epoch [124][2400/3746] lr: 7.428e-03, eta: 17:14:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4627, top5_acc: 0.7100, loss_cls: 3.5133, loss: 3.5133 +2024-01-02 22:14:05,438 - pyskl - INFO - Epoch [124][2500/3746] lr: 7.413e-03, eta: 17:13:50, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4658, top5_acc: 0.7136, loss_cls: 3.4585, loss: 3.4585 +2024-01-02 22:15:05,092 - pyskl - INFO - Epoch [124][2600/3746] lr: 7.399e-03, eta: 17:12:45, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4750, top5_acc: 0.7227, loss_cls: 3.4101, loss: 3.4101 +2024-01-02 22:16:04,536 - pyskl - INFO - Epoch [124][2700/3746] lr: 7.384e-03, eta: 17:11:40, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4595, top5_acc: 0.7181, loss_cls: 3.4656, loss: 3.4656 +2024-01-02 22:17:03,912 - pyskl - INFO - Epoch [124][2800/3746] lr: 7.370e-03, eta: 17:10:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4597, top5_acc: 0.7109, loss_cls: 3.4915, loss: 3.4915 +2024-01-02 22:18:03,875 - pyskl - INFO - Epoch [124][2900/3746] lr: 7.355e-03, eta: 17:09:31, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4503, top5_acc: 0.7027, loss_cls: 3.5120, loss: 3.5120 +2024-01-02 22:19:04,123 - pyskl - INFO - Epoch [124][3000/3746] lr: 7.340e-03, eta: 17:08:26, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4631, top5_acc: 0.7130, loss_cls: 3.4754, loss: 3.4754 +2024-01-02 22:20:03,425 - pyskl - INFO - Epoch [124][3100/3746] lr: 7.326e-03, eta: 17:07:22, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4622, top5_acc: 0.7172, loss_cls: 3.4999, loss: 3.4999 +2024-01-02 22:21:02,660 - pyskl - INFO - Epoch [124][3200/3746] lr: 7.311e-03, eta: 17:06:17, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4505, top5_acc: 0.7052, loss_cls: 3.4989, loss: 3.4989 +2024-01-02 22:22:01,958 - pyskl - INFO - Epoch [124][3300/3746] lr: 7.297e-03, eta: 17:05:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4572, top5_acc: 0.7164, loss_cls: 3.4841, loss: 3.4841 +2024-01-02 22:23:01,118 - pyskl - INFO - Epoch [124][3400/3746] lr: 7.282e-03, eta: 17:04:07, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4631, top5_acc: 0.7119, loss_cls: 3.4735, loss: 3.4735 +2024-01-02 22:24:01,381 - pyskl - INFO - Epoch [124][3500/3746] lr: 7.268e-03, eta: 17:03:03, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4516, top5_acc: 0.7106, loss_cls: 3.4963, loss: 3.4963 +2024-01-02 22:25:01,991 - pyskl - INFO - Epoch [124][3600/3746] lr: 7.253e-03, eta: 17:01:58, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4617, top5_acc: 0.7142, loss_cls: 3.4985, loss: 3.4985 +2024-01-02 22:26:02,599 - pyskl - INFO - Epoch [124][3700/3746] lr: 7.239e-03, eta: 17:00:54, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4628, top5_acc: 0.7113, loss_cls: 3.4711, loss: 3.4711 +2024-01-02 22:26:33,053 - pyskl - INFO - Saving checkpoint at 124 epochs +2024-01-02 22:28:27,434 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 22:28:28,750 - pyskl - INFO - +top1_acc 0.3961 +top5_acc 0.6466 +2024-01-02 22:28:28,751 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 22:28:28,790 - pyskl - INFO - +mean_acc 0.3958 +2024-01-02 22:28:28,796 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_122.pth was removed +2024-01-02 22:28:29,122 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_124.pth. +2024-01-02 22:28:29,122 - pyskl - INFO - Best top1_acc is 0.3961 at 124 epoch. +2024-01-02 22:28:29,132 - pyskl - INFO - Epoch(val) [124][309] top1_acc: 0.3961, top5_acc: 0.6466, mean_class_accuracy: 0.3958 +2024-01-02 22:31:50,066 - pyskl - INFO - Epoch [125][100/3746] lr: 7.217e-03, eta: 17:00:23, time: 2.009, data_time: 1.413, memory: 16177, top1_acc: 0.4764, top5_acc: 0.7302, loss_cls: 3.3825, loss: 3.3825 +2024-01-02 22:32:50,007 - pyskl - INFO - Epoch [125][200/3746] lr: 7.203e-03, eta: 16:59:18, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4777, top5_acc: 0.7269, loss_cls: 3.4028, loss: 3.4028 +2024-01-02 22:33:49,300 - pyskl - INFO - Epoch [125][300/3746] lr: 7.189e-03, eta: 16:58:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4809, top5_acc: 0.7397, loss_cls: 3.3670, loss: 3.3670 +2024-01-02 22:34:48,905 - pyskl - INFO - Epoch [125][400/3746] lr: 7.174e-03, eta: 16:57:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4703, top5_acc: 0.7233, loss_cls: 3.4255, loss: 3.4255 +2024-01-02 22:35:48,487 - pyskl - INFO - Epoch [125][500/3746] lr: 7.160e-03, eta: 16:56:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4800, top5_acc: 0.7298, loss_cls: 3.3750, loss: 3.3750 +2024-01-02 22:36:47,623 - pyskl - INFO - Epoch [125][600/3746] lr: 7.145e-03, eta: 16:54:59, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4786, top5_acc: 0.7381, loss_cls: 3.3793, loss: 3.3793 +2024-01-02 22:37:46,977 - pyskl - INFO - Epoch [125][700/3746] lr: 7.131e-03, eta: 16:53:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4722, top5_acc: 0.7303, loss_cls: 3.3827, loss: 3.3827 +2024-01-02 22:38:46,353 - pyskl - INFO - Epoch [125][800/3746] lr: 7.117e-03, eta: 16:52:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4795, top5_acc: 0.7334, loss_cls: 3.3841, loss: 3.3841 +2024-01-02 22:39:45,636 - pyskl - INFO - Epoch [125][900/3746] lr: 7.102e-03, eta: 16:51:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4733, top5_acc: 0.7180, loss_cls: 3.4437, loss: 3.4437 +2024-01-02 22:40:45,158 - pyskl - INFO - Epoch [125][1000/3746] lr: 7.088e-03, eta: 16:50:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4753, top5_acc: 0.7308, loss_cls: 3.3997, loss: 3.3997 +2024-01-02 22:41:44,908 - pyskl - INFO - Epoch [125][1100/3746] lr: 7.073e-03, eta: 16:49:35, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4745, top5_acc: 0.7303, loss_cls: 3.4032, loss: 3.4032 +2024-01-02 22:42:44,338 - pyskl - INFO - Epoch [125][1200/3746] lr: 7.059e-03, eta: 16:48:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4794, top5_acc: 0.7270, loss_cls: 3.3964, loss: 3.3964 +2024-01-02 22:43:43,690 - pyskl - INFO - Epoch [125][1300/3746] lr: 7.045e-03, eta: 16:47:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4664, top5_acc: 0.7212, loss_cls: 3.4418, loss: 3.4418 +2024-01-02 22:44:43,201 - pyskl - INFO - Epoch [125][1400/3746] lr: 7.031e-03, eta: 16:46:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4695, top5_acc: 0.7228, loss_cls: 3.4438, loss: 3.4438 +2024-01-02 22:45:42,364 - pyskl - INFO - Epoch [125][1500/3746] lr: 7.016e-03, eta: 16:45:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4703, top5_acc: 0.7177, loss_cls: 3.4488, loss: 3.4488 +2024-01-02 22:46:41,557 - pyskl - INFO - Epoch [125][1600/3746] lr: 7.002e-03, eta: 16:44:11, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4702, top5_acc: 0.7197, loss_cls: 3.4353, loss: 3.4353 +2024-01-02 22:47:41,231 - pyskl - INFO - Epoch [125][1700/3746] lr: 6.988e-03, eta: 16:43:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7233, loss_cls: 3.4219, loss: 3.4219 +2024-01-02 22:48:41,631 - pyskl - INFO - Epoch [125][1800/3746] lr: 6.973e-03, eta: 16:42:02, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4736, top5_acc: 0.7214, loss_cls: 3.4385, loss: 3.4385 +2024-01-02 22:49:41,657 - pyskl - INFO - Epoch [125][1900/3746] lr: 6.959e-03, eta: 16:40:57, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4608, top5_acc: 0.7167, loss_cls: 3.4659, loss: 3.4659 +2024-01-02 22:50:41,039 - pyskl - INFO - Epoch [125][2000/3746] lr: 6.945e-03, eta: 16:39:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4772, top5_acc: 0.7211, loss_cls: 3.4443, loss: 3.4443 +2024-01-02 22:51:40,234 - pyskl - INFO - Epoch [125][2100/3746] lr: 6.931e-03, eta: 16:38:48, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4659, top5_acc: 0.7223, loss_cls: 3.4377, loss: 3.4377 +2024-01-02 22:52:39,955 - pyskl - INFO - Epoch [125][2200/3746] lr: 6.917e-03, eta: 16:37:43, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4698, top5_acc: 0.7236, loss_cls: 3.4154, loss: 3.4154 +2024-01-02 22:53:39,052 - pyskl - INFO - Epoch [125][2300/3746] lr: 6.902e-03, eta: 16:36:38, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4708, top5_acc: 0.7252, loss_cls: 3.4296, loss: 3.4296 +2024-01-02 22:54:38,344 - pyskl - INFO - Epoch [125][2400/3746] lr: 6.888e-03, eta: 16:35:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4664, top5_acc: 0.7222, loss_cls: 3.4498, loss: 3.4498 +2024-01-02 22:55:37,469 - pyskl - INFO - Epoch [125][2500/3746] lr: 6.874e-03, eta: 16:34:29, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4625, top5_acc: 0.7136, loss_cls: 3.4501, loss: 3.4501 +2024-01-02 22:56:36,834 - pyskl - INFO - Epoch [125][2600/3746] lr: 6.860e-03, eta: 16:33:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4655, top5_acc: 0.7175, loss_cls: 3.4467, loss: 3.4467 +2024-01-02 22:57:36,172 - pyskl - INFO - Epoch [125][2700/3746] lr: 6.846e-03, eta: 16:32:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4708, top5_acc: 0.7170, loss_cls: 3.4469, loss: 3.4469 +2024-01-02 22:58:35,502 - pyskl - INFO - Epoch [125][2800/3746] lr: 6.832e-03, eta: 16:31:14, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4600, top5_acc: 0.7070, loss_cls: 3.4986, loss: 3.4986 +2024-01-02 22:59:35,522 - pyskl - INFO - Epoch [125][2900/3746] lr: 6.818e-03, eta: 16:30:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4678, top5_acc: 0.7267, loss_cls: 3.4375, loss: 3.4375 +2024-01-02 23:00:35,267 - pyskl - INFO - Epoch [125][3000/3746] lr: 6.804e-03, eta: 16:29:06, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4548, top5_acc: 0.7123, loss_cls: 3.4746, loss: 3.4746 +2024-01-02 23:01:34,455 - pyskl - INFO - Epoch [125][3100/3746] lr: 6.789e-03, eta: 16:28:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4652, top5_acc: 0.7220, loss_cls: 3.4549, loss: 3.4549 +2024-01-02 23:02:33,850 - pyskl - INFO - Epoch [125][3200/3746] lr: 6.775e-03, eta: 16:26:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4528, top5_acc: 0.7066, loss_cls: 3.4954, loss: 3.4954 +2024-01-02 23:03:32,902 - pyskl - INFO - Epoch [125][3300/3746] lr: 6.761e-03, eta: 16:25:51, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4697, top5_acc: 0.7208, loss_cls: 3.4233, loss: 3.4233 +2024-01-02 23:04:31,893 - pyskl - INFO - Epoch [125][3400/3746] lr: 6.747e-03, eta: 16:24:46, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4681, top5_acc: 0.7233, loss_cls: 3.4339, loss: 3.4339 +2024-01-02 23:05:32,045 - pyskl - INFO - Epoch [125][3500/3746] lr: 6.733e-03, eta: 16:23:42, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4528, top5_acc: 0.7034, loss_cls: 3.5062, loss: 3.5062 +2024-01-02 23:06:32,062 - pyskl - INFO - Epoch [125][3600/3746] lr: 6.719e-03, eta: 16:22:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7166, loss_cls: 3.4559, loss: 3.4559 +2024-01-02 23:07:31,646 - pyskl - INFO - Epoch [125][3700/3746] lr: 6.705e-03, eta: 16:21:33, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4670, top5_acc: 0.7164, loss_cls: 3.4602, loss: 3.4602 +2024-01-02 23:08:01,712 - pyskl - INFO - Saving checkpoint at 125 epochs +2024-01-02 23:09:53,676 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 23:09:54,732 - pyskl - INFO - +top1_acc 0.3947 +top5_acc 0.6447 +2024-01-02 23:09:54,732 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 23:09:54,786 - pyskl - INFO - +mean_acc 0.3943 +2024-01-02 23:09:54,800 - pyskl - INFO - Epoch(val) [125][309] top1_acc: 0.3947, top5_acc: 0.6447, mean_class_accuracy: 0.3943 +2024-01-02 23:13:14,941 - pyskl - INFO - Epoch [126][100/3746] lr: 6.685e-03, eta: 16:20:58, time: 2.001, data_time: 1.408, memory: 16177, top1_acc: 0.4891, top5_acc: 0.7375, loss_cls: 3.3359, loss: 3.3359 +2024-01-02 23:14:14,619 - pyskl - INFO - Epoch [126][200/3746] lr: 6.671e-03, eta: 16:19:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4819, top5_acc: 0.7367, loss_cls: 3.3703, loss: 3.3703 +2024-01-02 23:15:13,696 - pyskl - INFO - Epoch [126][300/3746] lr: 6.657e-03, eta: 16:18:48, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4783, top5_acc: 0.7286, loss_cls: 3.3875, loss: 3.3875 +2024-01-02 23:16:13,002 - pyskl - INFO - Epoch [126][400/3746] lr: 6.643e-03, eta: 16:17:43, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4850, top5_acc: 0.7355, loss_cls: 3.3651, loss: 3.3651 +2024-01-02 23:17:12,650 - pyskl - INFO - Epoch [126][500/3746] lr: 6.629e-03, eta: 16:16:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4841, top5_acc: 0.7369, loss_cls: 3.3477, loss: 3.3477 +2024-01-02 23:18:12,033 - pyskl - INFO - Epoch [126][600/3746] lr: 6.615e-03, eta: 16:15:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4777, top5_acc: 0.7306, loss_cls: 3.3769, loss: 3.3769 +2024-01-02 23:19:11,397 - pyskl - INFO - Epoch [126][700/3746] lr: 6.601e-03, eta: 16:14:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4825, top5_acc: 0.7366, loss_cls: 3.3798, loss: 3.3798 +2024-01-02 23:20:11,074 - pyskl - INFO - Epoch [126][800/3746] lr: 6.587e-03, eta: 16:13:25, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4772, top5_acc: 0.7309, loss_cls: 3.3842, loss: 3.3842 +2024-01-02 23:21:10,389 - pyskl - INFO - Epoch [126][900/3746] lr: 6.574e-03, eta: 16:12:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4708, top5_acc: 0.7320, loss_cls: 3.3831, loss: 3.3831 +2024-01-02 23:22:09,663 - pyskl - INFO - Epoch [126][1000/3746] lr: 6.560e-03, eta: 16:11:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4702, top5_acc: 0.7241, loss_cls: 3.3897, loss: 3.3897 +2024-01-02 23:23:09,200 - pyskl - INFO - Epoch [126][1100/3746] lr: 6.546e-03, eta: 16:10:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4828, top5_acc: 0.7306, loss_cls: 3.3782, loss: 3.3782 +2024-01-02 23:24:08,515 - pyskl - INFO - Epoch [126][1200/3746] lr: 6.532e-03, eta: 16:09:06, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4706, top5_acc: 0.7212, loss_cls: 3.4384, loss: 3.4384 +2024-01-02 23:25:07,998 - pyskl - INFO - Epoch [126][1300/3746] lr: 6.518e-03, eta: 16:08:01, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4800, top5_acc: 0.7298, loss_cls: 3.3974, loss: 3.3974 +2024-01-02 23:26:07,378 - pyskl - INFO - Epoch [126][1400/3746] lr: 6.505e-03, eta: 16:06:57, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4786, top5_acc: 0.7327, loss_cls: 3.3902, loss: 3.3902 +2024-01-02 23:27:06,827 - pyskl - INFO - Epoch [126][1500/3746] lr: 6.491e-03, eta: 16:05:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4675, top5_acc: 0.7209, loss_cls: 3.4380, loss: 3.4380 +2024-01-02 23:28:06,085 - pyskl - INFO - Epoch [126][1600/3746] lr: 6.477e-03, eta: 16:04:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4758, top5_acc: 0.7341, loss_cls: 3.3945, loss: 3.3945 +2024-01-02 23:29:05,367 - pyskl - INFO - Epoch [126][1700/3746] lr: 6.463e-03, eta: 16:03:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4652, top5_acc: 0.7192, loss_cls: 3.4510, loss: 3.4510 +2024-01-02 23:30:05,335 - pyskl - INFO - Epoch [126][1800/3746] lr: 6.449e-03, eta: 16:02:38, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4648, top5_acc: 0.7178, loss_cls: 3.4343, loss: 3.4343 +2024-01-02 23:31:05,982 - pyskl - INFO - Epoch [126][1900/3746] lr: 6.436e-03, eta: 16:01:34, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.4788, top5_acc: 0.7267, loss_cls: 3.4000, loss: 3.4000 +2024-01-02 23:32:05,354 - pyskl - INFO - Epoch [126][2000/3746] lr: 6.422e-03, eta: 16:00:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4719, top5_acc: 0.7247, loss_cls: 3.4146, loss: 3.4146 +2024-01-02 23:33:04,551 - pyskl - INFO - Epoch [126][2100/3746] lr: 6.408e-03, eta: 15:59:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4731, top5_acc: 0.7231, loss_cls: 3.4223, loss: 3.4223 +2024-01-02 23:34:04,771 - pyskl - INFO - Epoch [126][2200/3746] lr: 6.395e-03, eta: 15:58:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4813, top5_acc: 0.7261, loss_cls: 3.3955, loss: 3.3955 +2024-01-02 23:35:03,933 - pyskl - INFO - Epoch [126][2300/3746] lr: 6.381e-03, eta: 15:57:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4809, top5_acc: 0.7289, loss_cls: 3.3929, loss: 3.3929 +2024-01-02 23:36:03,277 - pyskl - INFO - Epoch [126][2400/3746] lr: 6.367e-03, eta: 15:56:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4747, top5_acc: 0.7222, loss_cls: 3.4276, loss: 3.4276 +2024-01-02 23:37:02,783 - pyskl - INFO - Epoch [126][2500/3746] lr: 6.354e-03, eta: 15:55:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4752, top5_acc: 0.7325, loss_cls: 3.3784, loss: 3.3784 +2024-01-02 23:38:01,827 - pyskl - INFO - Epoch [126][2600/3746] lr: 6.340e-03, eta: 15:54:02, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4780, top5_acc: 0.7214, loss_cls: 3.4455, loss: 3.4455 +2024-01-02 23:39:01,071 - pyskl - INFO - Epoch [126][2700/3746] lr: 6.326e-03, eta: 15:52:57, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4725, top5_acc: 0.7188, loss_cls: 3.4170, loss: 3.4170 +2024-01-02 23:40:00,452 - pyskl - INFO - Epoch [126][2800/3746] lr: 6.313e-03, eta: 15:51:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4733, top5_acc: 0.7261, loss_cls: 3.3950, loss: 3.3950 +2024-01-02 23:41:00,853 - pyskl - INFO - Epoch [126][2900/3746] lr: 6.299e-03, eta: 15:50:48, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4694, top5_acc: 0.7262, loss_cls: 3.4180, loss: 3.4180 +2024-01-02 23:42:01,348 - pyskl - INFO - Epoch [126][3000/3746] lr: 6.286e-03, eta: 15:49:44, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4702, top5_acc: 0.7228, loss_cls: 3.4135, loss: 3.4135 +2024-01-02 23:43:00,601 - pyskl - INFO - Epoch [126][3100/3746] lr: 6.272e-03, eta: 15:48:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4802, top5_acc: 0.7367, loss_cls: 3.3705, loss: 3.3705 +2024-01-02 23:43:59,946 - pyskl - INFO - Epoch [126][3200/3746] lr: 6.259e-03, eta: 15:47:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4773, top5_acc: 0.7238, loss_cls: 3.4267, loss: 3.4267 +2024-01-02 23:44:59,373 - pyskl - INFO - Epoch [126][3300/3746] lr: 6.245e-03, eta: 15:46:31, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4786, top5_acc: 0.7252, loss_cls: 3.4106, loss: 3.4106 +2024-01-02 23:45:58,429 - pyskl - INFO - Epoch [126][3400/3746] lr: 6.231e-03, eta: 15:45:26, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4650, top5_acc: 0.7258, loss_cls: 3.4356, loss: 3.4356 +2024-01-02 23:46:58,861 - pyskl - INFO - Epoch [126][3500/3746] lr: 6.218e-03, eta: 15:44:22, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4637, top5_acc: 0.7131, loss_cls: 3.4705, loss: 3.4705 +2024-01-02 23:47:59,368 - pyskl - INFO - Epoch [126][3600/3746] lr: 6.204e-03, eta: 15:43:18, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4611, top5_acc: 0.7175, loss_cls: 3.4649, loss: 3.4649 +2024-01-02 23:48:59,763 - pyskl - INFO - Epoch [126][3700/3746] lr: 6.191e-03, eta: 15:42:14, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.4584, top5_acc: 0.7231, loss_cls: 3.4701, loss: 3.4701 +2024-01-02 23:49:30,176 - pyskl - INFO - Saving checkpoint at 126 epochs +2024-01-02 23:51:25,636 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-02 23:51:26,932 - pyskl - INFO - +top1_acc 0.3907 +top5_acc 0.6493 +2024-01-02 23:51:26,932 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-02 23:51:26,964 - pyskl - INFO - +mean_acc 0.3903 +2024-01-02 23:51:26,973 - pyskl - INFO - Epoch(val) [126][309] top1_acc: 0.3907, top5_acc: 0.6493, mean_class_accuracy: 0.3903 +2024-01-02 23:54:45,042 - pyskl - INFO - Epoch [127][100/3746] lr: 6.171e-03, eta: 15:41:34, time: 1.981, data_time: 1.388, memory: 16177, top1_acc: 0.4852, top5_acc: 0.7459, loss_cls: 3.3230, loss: 3.3230 +2024-01-02 23:55:44,856 - pyskl - INFO - Epoch [127][200/3746] lr: 6.158e-03, eta: 15:40:30, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4998, top5_acc: 0.7417, loss_cls: 3.3029, loss: 3.3029 +2024-01-02 23:56:44,226 - pyskl - INFO - Epoch [127][300/3746] lr: 6.144e-03, eta: 15:39:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4953, top5_acc: 0.7388, loss_cls: 3.3074, loss: 3.3074 +2024-01-02 23:57:43,544 - pyskl - INFO - Epoch [127][400/3746] lr: 6.131e-03, eta: 15:38:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4867, top5_acc: 0.7402, loss_cls: 3.3322, loss: 3.3322 +2024-01-02 23:58:42,816 - pyskl - INFO - Epoch [127][500/3746] lr: 6.118e-03, eta: 15:37:16, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4902, top5_acc: 0.7428, loss_cls: 3.3236, loss: 3.3236 +2024-01-02 23:59:42,311 - pyskl - INFO - Epoch [127][600/3746] lr: 6.104e-03, eta: 15:36:11, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4891, top5_acc: 0.7342, loss_cls: 3.3326, loss: 3.3326 +2024-01-03 00:00:42,051 - pyskl - INFO - Epoch [127][700/3746] lr: 6.091e-03, eta: 15:35:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4889, top5_acc: 0.7439, loss_cls: 3.3301, loss: 3.3301 +2024-01-03 00:01:41,525 - pyskl - INFO - Epoch [127][800/3746] lr: 6.077e-03, eta: 15:34:02, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4758, top5_acc: 0.7336, loss_cls: 3.3890, loss: 3.3890 +2024-01-03 00:02:41,158 - pyskl - INFO - Epoch [127][900/3746] lr: 6.064e-03, eta: 15:32:58, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4741, top5_acc: 0.7262, loss_cls: 3.3715, loss: 3.3715 +2024-01-03 00:03:40,889 - pyskl - INFO - Epoch [127][1000/3746] lr: 6.051e-03, eta: 15:31:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4864, top5_acc: 0.7339, loss_cls: 3.3671, loss: 3.3671 +2024-01-03 00:04:40,214 - pyskl - INFO - Epoch [127][1100/3746] lr: 6.037e-03, eta: 15:30:49, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4814, top5_acc: 0.7373, loss_cls: 3.3561, loss: 3.3561 +2024-01-03 00:05:39,783 - pyskl - INFO - Epoch [127][1200/3746] lr: 6.024e-03, eta: 15:29:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4819, top5_acc: 0.7347, loss_cls: 3.3575, loss: 3.3575 +2024-01-03 00:06:39,320 - pyskl - INFO - Epoch [127][1300/3746] lr: 6.011e-03, eta: 15:28:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4808, top5_acc: 0.7277, loss_cls: 3.3708, loss: 3.3708 +2024-01-03 00:07:38,814 - pyskl - INFO - Epoch [127][1400/3746] lr: 5.998e-03, eta: 15:27:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7348, loss_cls: 3.3439, loss: 3.3439 +2024-01-03 00:08:38,269 - pyskl - INFO - Epoch [127][1500/3746] lr: 5.984e-03, eta: 15:26:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4820, top5_acc: 0.7311, loss_cls: 3.3772, loss: 3.3772 +2024-01-03 00:09:37,691 - pyskl - INFO - Epoch [127][1600/3746] lr: 5.971e-03, eta: 15:25:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4713, top5_acc: 0.7275, loss_cls: 3.4184, loss: 3.4184 +2024-01-03 00:10:37,241 - pyskl - INFO - Epoch [127][1700/3746] lr: 5.958e-03, eta: 15:24:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4727, top5_acc: 0.7323, loss_cls: 3.3922, loss: 3.3922 +2024-01-03 00:11:37,444 - pyskl - INFO - Epoch [127][1800/3746] lr: 5.945e-03, eta: 15:23:17, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4820, top5_acc: 0.7330, loss_cls: 3.3651, loss: 3.3651 +2024-01-03 00:12:37,976 - pyskl - INFO - Epoch [127][1900/3746] lr: 5.931e-03, eta: 15:22:13, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.4761, top5_acc: 0.7309, loss_cls: 3.4110, loss: 3.4110 +2024-01-03 00:13:37,828 - pyskl - INFO - Epoch [127][2000/3746] lr: 5.918e-03, eta: 15:21:09, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4794, top5_acc: 0.7289, loss_cls: 3.3805, loss: 3.3805 +2024-01-03 00:14:37,471 - pyskl - INFO - Epoch [127][2100/3746] lr: 5.905e-03, eta: 15:20:05, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4778, top5_acc: 0.7292, loss_cls: 3.4101, loss: 3.4101 +2024-01-03 00:15:37,427 - pyskl - INFO - Epoch [127][2200/3746] lr: 5.892e-03, eta: 15:19:00, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4714, top5_acc: 0.7206, loss_cls: 3.4125, loss: 3.4125 +2024-01-03 00:16:36,871 - pyskl - INFO - Epoch [127][2300/3746] lr: 5.879e-03, eta: 15:17:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4772, top5_acc: 0.7372, loss_cls: 3.3796, loss: 3.3796 +2024-01-03 00:17:36,106 - pyskl - INFO - Epoch [127][2400/3746] lr: 5.866e-03, eta: 15:16:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4870, top5_acc: 0.7308, loss_cls: 3.3778, loss: 3.3778 +2024-01-03 00:18:35,321 - pyskl - INFO - Epoch [127][2500/3746] lr: 5.852e-03, eta: 15:15:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4750, top5_acc: 0.7272, loss_cls: 3.4068, loss: 3.4068 +2024-01-03 00:19:34,687 - pyskl - INFO - Epoch [127][2600/3746] lr: 5.839e-03, eta: 15:14:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4852, top5_acc: 0.7280, loss_cls: 3.3656, loss: 3.3656 +2024-01-03 00:20:34,755 - pyskl - INFO - Epoch [127][2700/3746] lr: 5.826e-03, eta: 15:13:38, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4844, top5_acc: 0.7353, loss_cls: 3.3665, loss: 3.3665 +2024-01-03 00:21:34,134 - pyskl - INFO - Epoch [127][2800/3746] lr: 5.813e-03, eta: 15:12:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4767, top5_acc: 0.7302, loss_cls: 3.3966, loss: 3.3966 +2024-01-03 00:22:34,296 - pyskl - INFO - Epoch [127][2900/3746] lr: 5.800e-03, eta: 15:11:29, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.4813, top5_acc: 0.7319, loss_cls: 3.3760, loss: 3.3760 +2024-01-03 00:23:34,284 - pyskl - INFO - Epoch [127][3000/3746] lr: 5.787e-03, eta: 15:10:25, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4775, top5_acc: 0.7362, loss_cls: 3.3804, loss: 3.3804 +2024-01-03 00:24:33,832 - pyskl - INFO - Epoch [127][3100/3746] lr: 5.774e-03, eta: 15:09:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4741, top5_acc: 0.7300, loss_cls: 3.3888, loss: 3.3888 +2024-01-03 00:25:33,462 - pyskl - INFO - Epoch [127][3200/3746] lr: 5.761e-03, eta: 15:08:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4558, top5_acc: 0.7139, loss_cls: 3.4754, loss: 3.4754 +2024-01-03 00:26:32,571 - pyskl - INFO - Epoch [127][3300/3746] lr: 5.748e-03, eta: 15:07:12, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4736, top5_acc: 0.7308, loss_cls: 3.3784, loss: 3.3784 +2024-01-03 00:27:31,665 - pyskl - INFO - Epoch [127][3400/3746] lr: 5.735e-03, eta: 15:06:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4670, top5_acc: 0.7270, loss_cls: 3.4084, loss: 3.4084 +2024-01-03 00:28:31,212 - pyskl - INFO - Epoch [127][3500/3746] lr: 5.722e-03, eta: 15:05:03, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4705, top5_acc: 0.7253, loss_cls: 3.4105, loss: 3.4105 +2024-01-03 00:29:31,012 - pyskl - INFO - Epoch [127][3600/3746] lr: 5.709e-03, eta: 15:03:59, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4680, top5_acc: 0.7173, loss_cls: 3.4431, loss: 3.4431 +2024-01-03 00:30:31,143 - pyskl - INFO - Epoch [127][3700/3746] lr: 5.696e-03, eta: 15:02:55, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.4725, top5_acc: 0.7295, loss_cls: 3.4058, loss: 3.4058 +2024-01-03 00:31:01,178 - pyskl - INFO - Saving checkpoint at 127 epochs +2024-01-03 00:32:54,932 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 00:32:56,019 - pyskl - INFO - +top1_acc 0.3991 +top5_acc 0.6462 +2024-01-03 00:32:56,019 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 00:32:56,056 - pyskl - INFO - +mean_acc 0.3988 +2024-01-03 00:32:56,063 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_124.pth was removed +2024-01-03 00:32:56,406 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_127.pth. +2024-01-03 00:32:56,407 - pyskl - INFO - Best top1_acc is 0.3991 at 127 epoch. +2024-01-03 00:32:56,415 - pyskl - INFO - Epoch(val) [127][309] top1_acc: 0.3991, top5_acc: 0.6462, mean_class_accuracy: 0.3988 +2024-01-03 00:36:13,935 - pyskl - INFO - Epoch [128][100/3746] lr: 5.677e-03, eta: 15:02:11, time: 1.975, data_time: 1.385, memory: 16177, top1_acc: 0.5003, top5_acc: 0.7502, loss_cls: 3.2823, loss: 3.2823 +2024-01-03 00:37:13,470 - pyskl - INFO - Epoch [128][200/3746] lr: 5.664e-03, eta: 15:01:07, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5008, top5_acc: 0.7522, loss_cls: 3.2579, loss: 3.2579 +2024-01-03 00:38:12,717 - pyskl - INFO - Epoch [128][300/3746] lr: 5.651e-03, eta: 15:00:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7391, loss_cls: 3.3204, loss: 3.3204 +2024-01-03 00:39:11,718 - pyskl - INFO - Epoch [128][400/3746] lr: 5.638e-03, eta: 14:58:58, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4903, top5_acc: 0.7388, loss_cls: 3.3361, loss: 3.3361 +2024-01-03 00:40:10,898 - pyskl - INFO - Epoch [128][500/3746] lr: 5.625e-03, eta: 14:57:53, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4892, top5_acc: 0.7467, loss_cls: 3.3259, loss: 3.3259 +2024-01-03 00:41:09,960 - pyskl - INFO - Epoch [128][600/3746] lr: 5.612e-03, eta: 14:56:49, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4892, top5_acc: 0.7400, loss_cls: 3.3278, loss: 3.3278 +2024-01-03 00:42:09,080 - pyskl - INFO - Epoch [128][700/3746] lr: 5.600e-03, eta: 14:55:44, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4894, top5_acc: 0.7434, loss_cls: 3.3390, loss: 3.3390 +2024-01-03 00:43:08,307 - pyskl - INFO - Epoch [128][800/3746] lr: 5.587e-03, eta: 14:54:39, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4972, top5_acc: 0.7477, loss_cls: 3.2962, loss: 3.2962 +2024-01-03 00:44:07,433 - pyskl - INFO - Epoch [128][900/3746] lr: 5.574e-03, eta: 14:53:35, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4873, top5_acc: 0.7377, loss_cls: 3.3453, loss: 3.3453 +2024-01-03 00:45:06,590 - pyskl - INFO - Epoch [128][1000/3746] lr: 5.561e-03, eta: 14:52:30, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5050, top5_acc: 0.7505, loss_cls: 3.2677, loss: 3.2677 +2024-01-03 00:46:05,584 - pyskl - INFO - Epoch [128][1100/3746] lr: 5.548e-03, eta: 14:51:26, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4977, top5_acc: 0.7438, loss_cls: 3.2983, loss: 3.2983 +2024-01-03 00:47:04,907 - pyskl - INFO - Epoch [128][1200/3746] lr: 5.536e-03, eta: 14:50:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4877, top5_acc: 0.7312, loss_cls: 3.3637, loss: 3.3637 +2024-01-03 00:48:03,977 - pyskl - INFO - Epoch [128][1300/3746] lr: 5.523e-03, eta: 14:49:16, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4920, top5_acc: 0.7355, loss_cls: 3.3449, loss: 3.3449 +2024-01-03 00:49:02,762 - pyskl - INFO - Epoch [128][1400/3746] lr: 5.510e-03, eta: 14:48:12, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4873, top5_acc: 0.7434, loss_cls: 3.3210, loss: 3.3210 +2024-01-03 00:50:01,675 - pyskl - INFO - Epoch [128][1500/3746] lr: 5.497e-03, eta: 14:47:07, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4805, top5_acc: 0.7336, loss_cls: 3.3863, loss: 3.3863 +2024-01-03 00:51:00,602 - pyskl - INFO - Epoch [128][1600/3746] lr: 5.485e-03, eta: 14:46:02, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4830, top5_acc: 0.7338, loss_cls: 3.3605, loss: 3.3605 +2024-01-03 00:51:59,624 - pyskl - INFO - Epoch [128][1700/3746] lr: 5.472e-03, eta: 14:44:58, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4778, top5_acc: 0.7314, loss_cls: 3.3784, loss: 3.3784 +2024-01-03 00:52:58,565 - pyskl - INFO - Epoch [128][1800/3746] lr: 5.459e-03, eta: 14:43:53, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7356, loss_cls: 3.3575, loss: 3.3575 +2024-01-03 00:53:58,167 - pyskl - INFO - Epoch [128][1900/3746] lr: 5.446e-03, eta: 14:42:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4820, top5_acc: 0.7461, loss_cls: 3.3228, loss: 3.3228 +2024-01-03 00:54:58,015 - pyskl - INFO - Epoch [128][2000/3746] lr: 5.434e-03, eta: 14:41:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4973, top5_acc: 0.7469, loss_cls: 3.2915, loss: 3.2915 +2024-01-03 00:55:57,149 - pyskl - INFO - Epoch [128][2100/3746] lr: 5.421e-03, eta: 14:40:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4784, top5_acc: 0.7331, loss_cls: 3.3677, loss: 3.3677 +2024-01-03 00:56:56,505 - pyskl - INFO - Epoch [128][2200/3746] lr: 5.408e-03, eta: 14:39:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4900, top5_acc: 0.7278, loss_cls: 3.3547, loss: 3.3547 +2024-01-03 00:57:56,007 - pyskl - INFO - Epoch [128][2300/3746] lr: 5.396e-03, eta: 14:38:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4781, top5_acc: 0.7302, loss_cls: 3.3790, loss: 3.3790 +2024-01-03 00:58:55,032 - pyskl - INFO - Epoch [128][2400/3746] lr: 5.383e-03, eta: 14:37:27, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4961, top5_acc: 0.7448, loss_cls: 3.3335, loss: 3.3335 +2024-01-03 00:59:53,910 - pyskl - INFO - Epoch [128][2500/3746] lr: 5.370e-03, eta: 14:36:22, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4853, top5_acc: 0.7391, loss_cls: 3.3477, loss: 3.3477 +2024-01-03 01:00:52,755 - pyskl - INFO - Epoch [128][2600/3746] lr: 5.358e-03, eta: 14:35:18, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4733, top5_acc: 0.7303, loss_cls: 3.3942, loss: 3.3942 +2024-01-03 01:01:51,663 - pyskl - INFO - Epoch [128][2700/3746] lr: 5.345e-03, eta: 14:34:13, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4713, top5_acc: 0.7295, loss_cls: 3.3852, loss: 3.3852 +2024-01-03 01:02:50,701 - pyskl - INFO - Epoch [128][2800/3746] lr: 5.333e-03, eta: 14:33:09, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4845, top5_acc: 0.7289, loss_cls: 3.3834, loss: 3.3834 +2024-01-03 01:03:50,579 - pyskl - INFO - Epoch [128][2900/3746] lr: 5.320e-03, eta: 14:32:04, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4942, top5_acc: 0.7361, loss_cls: 3.3318, loss: 3.3318 +2024-01-03 01:04:50,015 - pyskl - INFO - Epoch [128][3000/3746] lr: 5.308e-03, eta: 14:31:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4858, top5_acc: 0.7356, loss_cls: 3.3567, loss: 3.3567 +2024-01-03 01:05:49,260 - pyskl - INFO - Epoch [128][3100/3746] lr: 5.295e-03, eta: 14:29:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4770, top5_acc: 0.7309, loss_cls: 3.3829, loss: 3.3829 +2024-01-03 01:06:48,766 - pyskl - INFO - Epoch [128][3200/3746] lr: 5.283e-03, eta: 14:28:51, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4792, top5_acc: 0.7280, loss_cls: 3.3754, loss: 3.3754 +2024-01-03 01:07:48,041 - pyskl - INFO - Epoch [128][3300/3746] lr: 5.270e-03, eta: 14:27:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4841, top5_acc: 0.7320, loss_cls: 3.3496, loss: 3.3496 +2024-01-03 01:08:46,843 - pyskl - INFO - Epoch [128][3400/3746] lr: 5.258e-03, eta: 14:26:42, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4844, top5_acc: 0.7273, loss_cls: 3.3637, loss: 3.3637 +2024-01-03 01:09:46,428 - pyskl - INFO - Epoch [128][3500/3746] lr: 5.245e-03, eta: 14:25:38, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4850, top5_acc: 0.7341, loss_cls: 3.3664, loss: 3.3664 +2024-01-03 01:10:46,213 - pyskl - INFO - Epoch [128][3600/3746] lr: 5.233e-03, eta: 14:24:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4764, top5_acc: 0.7291, loss_cls: 3.3957, loss: 3.3957 +2024-01-03 01:11:45,791 - pyskl - INFO - Epoch [128][3700/3746] lr: 5.220e-03, eta: 14:23:30, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4836, top5_acc: 0.7428, loss_cls: 3.3430, loss: 3.3430 +2024-01-03 01:12:16,102 - pyskl - INFO - Saving checkpoint at 128 epochs +2024-01-03 01:14:10,911 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 01:14:11,695 - pyskl - INFO - +top1_acc 0.3992 +top5_acc 0.6531 +2024-01-03 01:14:11,695 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 01:14:11,729 - pyskl - INFO - +mean_acc 0.3990 +2024-01-03 01:14:11,734 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_127.pth was removed +2024-01-03 01:14:12,003 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_128.pth. +2024-01-03 01:14:12,004 - pyskl - INFO - Best top1_acc is 0.3992 at 128 epoch. +2024-01-03 01:14:12,016 - pyskl - INFO - Epoch(val) [128][309] top1_acc: 0.3992, top5_acc: 0.6531, mean_class_accuracy: 0.3990 +2024-01-03 01:17:31,967 - pyskl - INFO - Epoch [129][100/3746] lr: 5.202e-03, eta: 14:22:45, time: 1.999, data_time: 1.406, memory: 16177, top1_acc: 0.5003, top5_acc: 0.7542, loss_cls: 3.2546, loss: 3.2546 +2024-01-03 01:18:31,433 - pyskl - INFO - Epoch [129][200/3746] lr: 5.190e-03, eta: 14:21:40, time: 0.595, data_time: 0.001, memory: 16177, top1_acc: 0.5025, top5_acc: 0.7533, loss_cls: 3.2607, loss: 3.2607 +2024-01-03 01:19:30,374 - pyskl - INFO - Epoch [129][300/3746] lr: 5.177e-03, eta: 14:20:36, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4909, top5_acc: 0.7455, loss_cls: 3.3048, loss: 3.3048 +2024-01-03 01:20:29,453 - pyskl - INFO - Epoch [129][400/3746] lr: 5.165e-03, eta: 14:19:31, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5027, top5_acc: 0.7544, loss_cls: 3.2479, loss: 3.2479 +2024-01-03 01:21:28,630 - pyskl - INFO - Epoch [129][500/3746] lr: 5.153e-03, eta: 14:18:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5012, top5_acc: 0.7464, loss_cls: 3.2799, loss: 3.2799 +2024-01-03 01:22:27,637 - pyskl - INFO - Epoch [129][600/3746] lr: 5.140e-03, eta: 14:17:22, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4994, top5_acc: 0.7495, loss_cls: 3.2735, loss: 3.2735 +2024-01-03 01:23:26,674 - pyskl - INFO - Epoch [129][700/3746] lr: 5.128e-03, eta: 14:16:18, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4992, top5_acc: 0.7514, loss_cls: 3.2801, loss: 3.2801 +2024-01-03 01:24:25,792 - pyskl - INFO - Epoch [129][800/3746] lr: 5.116e-03, eta: 14:15:13, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5003, top5_acc: 0.7473, loss_cls: 3.2861, loss: 3.2861 +2024-01-03 01:25:24,867 - pyskl - INFO - Epoch [129][900/3746] lr: 5.103e-03, eta: 14:14:09, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4967, top5_acc: 0.7483, loss_cls: 3.2924, loss: 3.2924 +2024-01-03 01:26:24,089 - pyskl - INFO - Epoch [129][1000/3746] lr: 5.091e-03, eta: 14:13:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4905, top5_acc: 0.7494, loss_cls: 3.3056, loss: 3.3056 +2024-01-03 01:27:23,331 - pyskl - INFO - Epoch [129][1100/3746] lr: 5.079e-03, eta: 14:12:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4944, top5_acc: 0.7434, loss_cls: 3.2786, loss: 3.2786 +2024-01-03 01:28:22,353 - pyskl - INFO - Epoch [129][1200/3746] lr: 5.066e-03, eta: 14:10:55, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4813, top5_acc: 0.7439, loss_cls: 3.3276, loss: 3.3276 +2024-01-03 01:29:21,040 - pyskl - INFO - Epoch [129][1300/3746] lr: 5.054e-03, eta: 14:09:51, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.4922, top5_acc: 0.7419, loss_cls: 3.3095, loss: 3.3095 +2024-01-03 01:30:19,823 - pyskl - INFO - Epoch [129][1400/3746] lr: 5.042e-03, eta: 14:08:46, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4875, top5_acc: 0.7412, loss_cls: 3.3120, loss: 3.3120 +2024-01-03 01:31:19,095 - pyskl - INFO - Epoch [129][1500/3746] lr: 5.030e-03, eta: 14:07:42, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4936, top5_acc: 0.7430, loss_cls: 3.3358, loss: 3.3358 +2024-01-03 01:32:17,988 - pyskl - INFO - Epoch [129][1600/3746] lr: 5.017e-03, eta: 14:06:37, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4823, top5_acc: 0.7470, loss_cls: 3.3369, loss: 3.3369 +2024-01-03 01:33:17,263 - pyskl - INFO - Epoch [129][1700/3746] lr: 5.005e-03, eta: 14:05:33, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5042, top5_acc: 0.7502, loss_cls: 3.2580, loss: 3.2580 +2024-01-03 01:34:16,323 - pyskl - INFO - Epoch [129][1800/3746] lr: 4.993e-03, eta: 14:04:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7398, loss_cls: 3.3389, loss: 3.3389 +2024-01-03 01:35:16,072 - pyskl - INFO - Epoch [129][1900/3746] lr: 4.981e-03, eta: 14:03:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4978, top5_acc: 0.7441, loss_cls: 3.3009, loss: 3.3009 +2024-01-03 01:36:15,447 - pyskl - INFO - Epoch [129][2000/3746] lr: 4.969e-03, eta: 14:02:20, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4936, top5_acc: 0.7464, loss_cls: 3.3125, loss: 3.3125 +2024-01-03 01:37:14,401 - pyskl - INFO - Epoch [129][2100/3746] lr: 4.957e-03, eta: 14:01:15, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4903, top5_acc: 0.7341, loss_cls: 3.3492, loss: 3.3492 +2024-01-03 01:38:13,617 - pyskl - INFO - Epoch [129][2200/3746] lr: 4.944e-03, eta: 14:00:11, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4852, top5_acc: 0.7394, loss_cls: 3.3330, loss: 3.3330 +2024-01-03 01:39:12,663 - pyskl - INFO - Epoch [129][2300/3746] lr: 4.932e-03, eta: 13:59:07, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4872, top5_acc: 0.7388, loss_cls: 3.3349, loss: 3.3349 +2024-01-03 01:40:11,853 - pyskl - INFO - Epoch [129][2400/3746] lr: 4.920e-03, eta: 13:58:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4852, top5_acc: 0.7295, loss_cls: 3.3657, loss: 3.3657 +2024-01-03 01:41:10,979 - pyskl - INFO - Epoch [129][2500/3746] lr: 4.908e-03, eta: 13:56:58, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5061, top5_acc: 0.7450, loss_cls: 3.2929, loss: 3.2929 +2024-01-03 01:42:09,939 - pyskl - INFO - Epoch [129][2600/3746] lr: 4.896e-03, eta: 13:55:53, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4841, top5_acc: 0.7373, loss_cls: 3.3508, loss: 3.3508 +2024-01-03 01:43:09,162 - pyskl - INFO - Epoch [129][2700/3746] lr: 4.884e-03, eta: 13:54:49, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4856, top5_acc: 0.7369, loss_cls: 3.3396, loss: 3.3396 +2024-01-03 01:44:09,043 - pyskl - INFO - Epoch [129][2800/3746] lr: 4.872e-03, eta: 13:53:45, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4928, top5_acc: 0.7414, loss_cls: 3.3121, loss: 3.3121 +2024-01-03 01:45:09,361 - pyskl - INFO - Epoch [129][2900/3746] lr: 4.860e-03, eta: 13:52:41, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.4867, top5_acc: 0.7339, loss_cls: 3.3465, loss: 3.3465 +2024-01-03 01:46:08,824 - pyskl - INFO - Epoch [129][3000/3746] lr: 4.848e-03, eta: 13:51:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4913, top5_acc: 0.7391, loss_cls: 3.3217, loss: 3.3217 +2024-01-03 01:47:07,718 - pyskl - INFO - Epoch [129][3100/3746] lr: 4.836e-03, eta: 13:50:33, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4875, top5_acc: 0.7402, loss_cls: 3.3282, loss: 3.3282 +2024-01-03 01:48:07,745 - pyskl - INFO - Epoch [129][3200/3746] lr: 4.824e-03, eta: 13:49:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.4872, top5_acc: 0.7367, loss_cls: 3.3404, loss: 3.3404 +2024-01-03 01:49:06,800 - pyskl - INFO - Epoch [129][3300/3746] lr: 4.812e-03, eta: 13:48:24, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4883, top5_acc: 0.7375, loss_cls: 3.3387, loss: 3.3387 +2024-01-03 01:50:05,726 - pyskl - INFO - Epoch [129][3400/3746] lr: 4.800e-03, eta: 13:47:20, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7423, loss_cls: 3.3218, loss: 3.3218 +2024-01-03 01:51:05,392 - pyskl - INFO - Epoch [129][3500/3746] lr: 4.788e-03, eta: 13:46:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4759, top5_acc: 0.7261, loss_cls: 3.3850, loss: 3.3850 +2024-01-03 01:52:05,165 - pyskl - INFO - Epoch [129][3600/3746] lr: 4.776e-03, eta: 13:45:12, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7512, loss_cls: 3.3095, loss: 3.3095 +2024-01-03 01:53:04,965 - pyskl - INFO - Epoch [129][3700/3746] lr: 4.764e-03, eta: 13:44:08, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4820, top5_acc: 0.7400, loss_cls: 3.3754, loss: 3.3754 +2024-01-03 01:53:34,749 - pyskl - INFO - Saving checkpoint at 129 epochs +2024-01-03 01:55:26,704 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 01:55:27,564 - pyskl - INFO - +top1_acc 0.4032 +top5_acc 0.6592 +2024-01-03 01:55:27,564 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 01:55:27,624 - pyskl - INFO - +mean_acc 0.4028 +2024-01-03 01:55:27,634 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_128.pth was removed +2024-01-03 01:55:28,040 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_129.pth. +2024-01-03 01:55:28,041 - pyskl - INFO - Best top1_acc is 0.4032 at 129 epoch. +2024-01-03 01:55:28,063 - pyskl - INFO - Epoch(val) [129][309] top1_acc: 0.4032, top5_acc: 0.6592, mean_class_accuracy: 0.4028 +2024-01-03 01:58:50,119 - pyskl - INFO - Epoch [130][100/3746] lr: 4.747e-03, eta: 13:43:20, time: 2.020, data_time: 1.420, memory: 16177, top1_acc: 0.5097, top5_acc: 0.7605, loss_cls: 3.2096, loss: 3.2096 +2024-01-03 01:59:49,786 - pyskl - INFO - Epoch [130][200/3746] lr: 4.735e-03, eta: 13:42:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5138, top5_acc: 0.7645, loss_cls: 3.2096, loss: 3.2096 +2024-01-03 02:00:48,901 - pyskl - INFO - Epoch [130][300/3746] lr: 4.723e-03, eta: 13:41:12, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5091, top5_acc: 0.7583, loss_cls: 3.2327, loss: 3.2327 +2024-01-03 02:01:48,338 - pyskl - INFO - Epoch [130][400/3746] lr: 4.711e-03, eta: 13:40:08, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5023, top5_acc: 0.7525, loss_cls: 3.2433, loss: 3.2433 +2024-01-03 02:02:47,334 - pyskl - INFO - Epoch [130][500/3746] lr: 4.699e-03, eta: 13:39:03, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5130, top5_acc: 0.7589, loss_cls: 3.2087, loss: 3.2087 +2024-01-03 02:03:46,700 - pyskl - INFO - Epoch [130][600/3746] lr: 4.688e-03, eta: 13:37:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5127, top5_acc: 0.7569, loss_cls: 3.2131, loss: 3.2131 +2024-01-03 02:04:45,835 - pyskl - INFO - Epoch [130][700/3746] lr: 4.676e-03, eta: 13:36:55, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5027, top5_acc: 0.7447, loss_cls: 3.2952, loss: 3.2952 +2024-01-03 02:05:44,761 - pyskl - INFO - Epoch [130][800/3746] lr: 4.664e-03, eta: 13:35:50, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5022, top5_acc: 0.7486, loss_cls: 3.2630, loss: 3.2630 +2024-01-03 02:06:43,591 - pyskl - INFO - Epoch [130][900/3746] lr: 4.652e-03, eta: 13:34:46, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5056, top5_acc: 0.7533, loss_cls: 3.2564, loss: 3.2564 +2024-01-03 02:07:42,610 - pyskl - INFO - Epoch [130][1000/3746] lr: 4.640e-03, eta: 13:33:41, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5044, top5_acc: 0.7473, loss_cls: 3.2715, loss: 3.2715 +2024-01-03 02:08:41,758 - pyskl - INFO - Epoch [130][1100/3746] lr: 4.629e-03, eta: 13:32:37, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4909, top5_acc: 0.7539, loss_cls: 3.2840, loss: 3.2840 +2024-01-03 02:09:40,922 - pyskl - INFO - Epoch [130][1200/3746] lr: 4.617e-03, eta: 13:31:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4892, top5_acc: 0.7370, loss_cls: 3.3344, loss: 3.3344 +2024-01-03 02:10:39,849 - pyskl - INFO - Epoch [130][1300/3746] lr: 4.605e-03, eta: 13:30:28, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4959, top5_acc: 0.7466, loss_cls: 3.2963, loss: 3.2963 +2024-01-03 02:11:38,864 - pyskl - INFO - Epoch [130][1400/3746] lr: 4.594e-03, eta: 13:29:24, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5097, top5_acc: 0.7503, loss_cls: 3.2679, loss: 3.2679 +2024-01-03 02:12:37,880 - pyskl - INFO - Epoch [130][1500/3746] lr: 4.582e-03, eta: 13:28:19, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4948, top5_acc: 0.7453, loss_cls: 3.2954, loss: 3.2954 +2024-01-03 02:13:36,886 - pyskl - INFO - Epoch [130][1600/3746] lr: 4.570e-03, eta: 13:27:15, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4975, top5_acc: 0.7458, loss_cls: 3.2819, loss: 3.2819 +2024-01-03 02:14:36,266 - pyskl - INFO - Epoch [130][1700/3746] lr: 4.558e-03, eta: 13:26:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.4909, top5_acc: 0.7398, loss_cls: 3.3106, loss: 3.3106 +2024-01-03 02:15:35,368 - pyskl - INFO - Epoch [130][1800/3746] lr: 4.547e-03, eta: 13:25:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5066, top5_acc: 0.7506, loss_cls: 3.2624, loss: 3.2624 +2024-01-03 02:16:34,570 - pyskl - INFO - Epoch [130][1900/3746] lr: 4.535e-03, eta: 13:24:02, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5077, top5_acc: 0.7538, loss_cls: 3.2619, loss: 3.2619 +2024-01-03 02:17:34,430 - pyskl - INFO - Epoch [130][2000/3746] lr: 4.524e-03, eta: 13:22:58, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4950, top5_acc: 0.7505, loss_cls: 3.2722, loss: 3.2722 +2024-01-03 02:18:34,016 - pyskl - INFO - Epoch [130][2100/3746] lr: 4.512e-03, eta: 13:21:54, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5117, top5_acc: 0.7575, loss_cls: 3.2453, loss: 3.2453 +2024-01-03 02:19:32,961 - pyskl - INFO - Epoch [130][2200/3746] lr: 4.500e-03, eta: 13:20:50, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4866, top5_acc: 0.7459, loss_cls: 3.3149, loss: 3.3149 +2024-01-03 02:20:32,021 - pyskl - INFO - Epoch [130][2300/3746] lr: 4.489e-03, eta: 13:19:45, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4966, top5_acc: 0.7527, loss_cls: 3.2681, loss: 3.2681 +2024-01-03 02:21:30,961 - pyskl - INFO - Epoch [130][2400/3746] lr: 4.477e-03, eta: 13:18:41, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4939, top5_acc: 0.7444, loss_cls: 3.2915, loss: 3.2915 +2024-01-03 02:22:29,847 - pyskl - INFO - Epoch [130][2500/3746] lr: 4.466e-03, eta: 13:17:37, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4928, top5_acc: 0.7456, loss_cls: 3.2923, loss: 3.2923 +2024-01-03 02:23:28,883 - pyskl - INFO - Epoch [130][2600/3746] lr: 4.454e-03, eta: 13:16:32, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4969, top5_acc: 0.7402, loss_cls: 3.3218, loss: 3.3218 +2024-01-03 02:24:27,792 - pyskl - INFO - Epoch [130][2700/3746] lr: 4.443e-03, eta: 13:15:28, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.4919, top5_acc: 0.7348, loss_cls: 3.3461, loss: 3.3461 +2024-01-03 02:25:27,074 - pyskl - INFO - Epoch [130][2800/3746] lr: 4.431e-03, eta: 13:14:24, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.4928, top5_acc: 0.7384, loss_cls: 3.3362, loss: 3.3362 +2024-01-03 02:26:26,727 - pyskl - INFO - Epoch [130][2900/3746] lr: 4.420e-03, eta: 13:13:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4869, top5_acc: 0.7369, loss_cls: 3.3430, loss: 3.3430 +2024-01-03 02:27:25,782 - pyskl - INFO - Epoch [130][3000/3746] lr: 4.408e-03, eta: 13:12:16, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4905, top5_acc: 0.7503, loss_cls: 3.2928, loss: 3.2928 +2024-01-03 02:28:25,017 - pyskl - INFO - Epoch [130][3100/3746] lr: 4.397e-03, eta: 13:11:11, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4934, top5_acc: 0.7505, loss_cls: 3.2961, loss: 3.2961 +2024-01-03 02:29:24,260 - pyskl - INFO - Epoch [130][3200/3746] lr: 4.385e-03, eta: 13:10:07, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4945, top5_acc: 0.7475, loss_cls: 3.3108, loss: 3.3108 +2024-01-03 02:30:22,984 - pyskl - INFO - Epoch [130][3300/3746] lr: 4.374e-03, eta: 13:09:03, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5041, top5_acc: 0.7527, loss_cls: 3.2625, loss: 3.2625 +2024-01-03 02:31:21,961 - pyskl - INFO - Epoch [130][3400/3746] lr: 4.362e-03, eta: 13:07:59, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.4914, top5_acc: 0.7438, loss_cls: 3.3171, loss: 3.3171 +2024-01-03 02:32:21,634 - pyskl - INFO - Epoch [130][3500/3746] lr: 4.351e-03, eta: 13:06:55, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4828, top5_acc: 0.7395, loss_cls: 3.3427, loss: 3.3427 +2024-01-03 02:33:21,566 - pyskl - INFO - Epoch [130][3600/3746] lr: 4.339e-03, eta: 13:05:51, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4952, top5_acc: 0.7445, loss_cls: 3.3129, loss: 3.3129 +2024-01-03 02:34:21,271 - pyskl - INFO - Epoch [130][3700/3746] lr: 4.328e-03, eta: 13:04:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4994, top5_acc: 0.7445, loss_cls: 3.2885, loss: 3.2885 +2024-01-03 02:34:51,225 - pyskl - INFO - Saving checkpoint at 130 epochs +2024-01-03 02:36:45,938 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 02:36:46,986 - pyskl - INFO - +top1_acc 0.4107 +top5_acc 0.6630 +2024-01-03 02:36:46,987 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 02:36:47,041 - pyskl - INFO - +mean_acc 0.4104 +2024-01-03 02:36:47,050 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_129.pth was removed +2024-01-03 02:36:47,393 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_130.pth. +2024-01-03 02:36:47,393 - pyskl - INFO - Best top1_acc is 0.4107 at 130 epoch. +2024-01-03 02:36:47,402 - pyskl - INFO - Epoch(val) [130][309] top1_acc: 0.4107, top5_acc: 0.6630, mean_class_accuracy: 0.4104 +2024-01-03 02:40:10,616 - pyskl - INFO - Epoch [131][100/3746] lr: 4.311e-03, eta: 13:03:57, time: 2.032, data_time: 1.439, memory: 16177, top1_acc: 0.5269, top5_acc: 0.7664, loss_cls: 3.1682, loss: 3.1682 +2024-01-03 02:41:09,924 - pyskl - INFO - Epoch [131][200/3746] lr: 4.300e-03, eta: 13:02:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5233, top5_acc: 0.7686, loss_cls: 3.1605, loss: 3.1605 +2024-01-03 02:42:09,331 - pyskl - INFO - Epoch [131][300/3746] lr: 4.289e-03, eta: 13:01:49, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5077, top5_acc: 0.7580, loss_cls: 3.2197, loss: 3.2197 +2024-01-03 02:43:08,667 - pyskl - INFO - Epoch [131][400/3746] lr: 4.277e-03, eta: 13:00:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5114, top5_acc: 0.7684, loss_cls: 3.1912, loss: 3.1912 +2024-01-03 02:44:07,702 - pyskl - INFO - Epoch [131][500/3746] lr: 4.266e-03, eta: 12:59:40, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5092, top5_acc: 0.7498, loss_cls: 3.2451, loss: 3.2451 +2024-01-03 02:45:06,791 - pyskl - INFO - Epoch [131][600/3746] lr: 4.255e-03, eta: 12:58:36, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5069, top5_acc: 0.7581, loss_cls: 3.2318, loss: 3.2318 +2024-01-03 02:46:05,981 - pyskl - INFO - Epoch [131][700/3746] lr: 4.244e-03, eta: 12:57:32, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5134, top5_acc: 0.7614, loss_cls: 3.1973, loss: 3.1973 +2024-01-03 02:47:05,128 - pyskl - INFO - Epoch [131][800/3746] lr: 4.232e-03, eta: 12:56:27, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5131, top5_acc: 0.7678, loss_cls: 3.1874, loss: 3.1874 +2024-01-03 02:48:04,532 - pyskl - INFO - Epoch [131][900/3746] lr: 4.221e-03, eta: 12:55:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5055, top5_acc: 0.7567, loss_cls: 3.2387, loss: 3.2387 +2024-01-03 02:49:03,394 - pyskl - INFO - Epoch [131][1000/3746] lr: 4.210e-03, eta: 12:54:19, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5122, top5_acc: 0.7602, loss_cls: 3.2218, loss: 3.2218 +2024-01-03 02:50:02,228 - pyskl - INFO - Epoch [131][1100/3746] lr: 4.199e-03, eta: 12:53:15, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5175, top5_acc: 0.7614, loss_cls: 3.2163, loss: 3.2163 +2024-01-03 02:51:01,057 - pyskl - INFO - Epoch [131][1200/3746] lr: 4.187e-03, eta: 12:52:10, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5159, top5_acc: 0.7630, loss_cls: 3.2047, loss: 3.2047 +2024-01-03 02:51:59,870 - pyskl - INFO - Epoch [131][1300/3746] lr: 4.176e-03, eta: 12:51:06, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5183, top5_acc: 0.7564, loss_cls: 3.2068, loss: 3.2068 +2024-01-03 02:52:59,230 - pyskl - INFO - Epoch [131][1400/3746] lr: 4.165e-03, eta: 12:50:02, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5038, top5_acc: 0.7520, loss_cls: 3.2485, loss: 3.2485 +2024-01-03 02:53:58,471 - pyskl - INFO - Epoch [131][1500/3746] lr: 4.154e-03, eta: 12:48:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5119, top5_acc: 0.7520, loss_cls: 3.2380, loss: 3.2380 +2024-01-03 02:54:57,576 - pyskl - INFO - Epoch [131][1600/3746] lr: 4.143e-03, eta: 12:47:53, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4953, top5_acc: 0.7461, loss_cls: 3.2862, loss: 3.2862 +2024-01-03 02:55:56,332 - pyskl - INFO - Epoch [131][1700/3746] lr: 4.132e-03, eta: 12:46:49, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4978, top5_acc: 0.7542, loss_cls: 3.2525, loss: 3.2525 +2024-01-03 02:56:55,183 - pyskl - INFO - Epoch [131][1800/3746] lr: 4.120e-03, eta: 12:45:45, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4959, top5_acc: 0.7483, loss_cls: 3.2837, loss: 3.2837 +2024-01-03 02:57:53,986 - pyskl - INFO - Epoch [131][1900/3746] lr: 4.109e-03, eta: 12:44:41, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4956, top5_acc: 0.7562, loss_cls: 3.2694, loss: 3.2694 +2024-01-03 02:58:53,791 - pyskl - INFO - Epoch [131][2000/3746] lr: 4.098e-03, eta: 12:43:37, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.4989, top5_acc: 0.7538, loss_cls: 3.2647, loss: 3.2647 +2024-01-03 02:59:53,462 - pyskl - INFO - Epoch [131][2100/3746] lr: 4.087e-03, eta: 12:42:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5050, top5_acc: 0.7520, loss_cls: 3.2699, loss: 3.2699 +2024-01-03 03:00:52,554 - pyskl - INFO - Epoch [131][2200/3746] lr: 4.076e-03, eta: 12:41:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5062, top5_acc: 0.7492, loss_cls: 3.2434, loss: 3.2434 +2024-01-03 03:01:51,749 - pyskl - INFO - Epoch [131][2300/3746] lr: 4.065e-03, eta: 12:40:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.4898, top5_acc: 0.7494, loss_cls: 3.2878, loss: 3.2878 +2024-01-03 03:02:50,870 - pyskl - INFO - Epoch [131][2400/3746] lr: 4.054e-03, eta: 12:39:20, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4978, top5_acc: 0.7605, loss_cls: 3.2685, loss: 3.2685 +2024-01-03 03:03:49,811 - pyskl - INFO - Epoch [131][2500/3746] lr: 4.043e-03, eta: 12:38:16, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5000, top5_acc: 0.7450, loss_cls: 3.2732, loss: 3.2732 +2024-01-03 03:04:48,741 - pyskl - INFO - Epoch [131][2600/3746] lr: 4.032e-03, eta: 12:37:12, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5052, top5_acc: 0.7578, loss_cls: 3.2340, loss: 3.2340 +2024-01-03 03:05:47,802 - pyskl - INFO - Epoch [131][2700/3746] lr: 4.021e-03, eta: 12:36:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4903, top5_acc: 0.7414, loss_cls: 3.3093, loss: 3.3093 +2024-01-03 03:06:47,394 - pyskl - INFO - Epoch [131][2800/3746] lr: 4.010e-03, eta: 12:35:04, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5017, top5_acc: 0.7531, loss_cls: 3.2462, loss: 3.2462 +2024-01-03 03:07:47,335 - pyskl - INFO - Epoch [131][2900/3746] lr: 3.999e-03, eta: 12:34:00, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.4931, top5_acc: 0.7470, loss_cls: 3.2896, loss: 3.2896 +2024-01-03 03:08:46,568 - pyskl - INFO - Epoch [131][3000/3746] lr: 3.988e-03, eta: 12:32:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5094, top5_acc: 0.7486, loss_cls: 3.2518, loss: 3.2518 +2024-01-03 03:09:46,099 - pyskl - INFO - Epoch [131][3100/3746] lr: 3.977e-03, eta: 12:31:52, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5167, top5_acc: 0.7516, loss_cls: 3.2477, loss: 3.2477 +2024-01-03 03:10:45,293 - pyskl - INFO - Epoch [131][3200/3746] lr: 3.966e-03, eta: 12:30:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5048, top5_acc: 0.7547, loss_cls: 3.2560, loss: 3.2560 +2024-01-03 03:11:44,119 - pyskl - INFO - Epoch [131][3300/3746] lr: 3.955e-03, eta: 12:29:43, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.4995, top5_acc: 0.7464, loss_cls: 3.2746, loss: 3.2746 +2024-01-03 03:12:43,176 - pyskl - INFO - Epoch [131][3400/3746] lr: 3.945e-03, eta: 12:28:39, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.4991, top5_acc: 0.7431, loss_cls: 3.2872, loss: 3.2872 +2024-01-03 03:13:42,644 - pyskl - INFO - Epoch [131][3500/3746] lr: 3.934e-03, eta: 12:27:35, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4938, top5_acc: 0.7488, loss_cls: 3.2954, loss: 3.2954 +2024-01-03 03:14:42,314 - pyskl - INFO - Epoch [131][3600/3746] lr: 3.923e-03, eta: 12:26:31, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.4998, top5_acc: 0.7439, loss_cls: 3.3022, loss: 3.3022 +2024-01-03 03:15:41,814 - pyskl - INFO - Epoch [131][3700/3746] lr: 3.912e-03, eta: 12:25:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4917, top5_acc: 0.7306, loss_cls: 3.3420, loss: 3.3420 +2024-01-03 03:16:12,445 - pyskl - INFO - Saving checkpoint at 131 epochs +2024-01-03 03:18:10,204 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 03:18:11,006 - pyskl - INFO - +top1_acc 0.4136 +top5_acc 0.6653 +2024-01-03 03:18:11,006 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 03:18:11,042 - pyskl - INFO - +mean_acc 0.4134 +2024-01-03 03:18:11,048 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_130.pth was removed +2024-01-03 03:18:11,304 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_131.pth. +2024-01-03 03:18:11,304 - pyskl - INFO - Best top1_acc is 0.4136 at 131 epoch. +2024-01-03 03:18:11,313 - pyskl - INFO - Epoch(val) [131][309] top1_acc: 0.4136, top5_acc: 0.6653, mean_class_accuracy: 0.4134 +2024-01-03 03:21:41,635 - pyskl - INFO - Epoch [132][100/3746] lr: 3.896e-03, eta: 12:24:37, time: 2.103, data_time: 1.505, memory: 16177, top1_acc: 0.5328, top5_acc: 0.7680, loss_cls: 3.1535, loss: 3.1535 +2024-01-03 03:22:41,070 - pyskl - INFO - Epoch [132][200/3746] lr: 3.885e-03, eta: 12:23:33, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5116, top5_acc: 0.7645, loss_cls: 3.2075, loss: 3.2075 +2024-01-03 03:23:40,705 - pyskl - INFO - Epoch [132][300/3746] lr: 3.875e-03, eta: 12:22:29, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5205, top5_acc: 0.7681, loss_cls: 3.1612, loss: 3.1612 +2024-01-03 03:24:39,738 - pyskl - INFO - Epoch [132][400/3746] lr: 3.864e-03, eta: 12:21:25, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5077, top5_acc: 0.7675, loss_cls: 3.1968, loss: 3.1968 +2024-01-03 03:25:39,066 - pyskl - INFO - Epoch [132][500/3746] lr: 3.853e-03, eta: 12:20:21, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5162, top5_acc: 0.7638, loss_cls: 3.1793, loss: 3.1793 +2024-01-03 03:26:38,327 - pyskl - INFO - Epoch [132][600/3746] lr: 3.842e-03, eta: 12:19:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5250, top5_acc: 0.7669, loss_cls: 3.1644, loss: 3.1644 +2024-01-03 03:27:37,433 - pyskl - INFO - Epoch [132][700/3746] lr: 3.831e-03, eta: 12:18:13, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5102, top5_acc: 0.7578, loss_cls: 3.2096, loss: 3.2096 +2024-01-03 03:28:36,727 - pyskl - INFO - Epoch [132][800/3746] lr: 3.821e-03, eta: 12:17:09, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5150, top5_acc: 0.7589, loss_cls: 3.2119, loss: 3.2119 +2024-01-03 03:29:36,031 - pyskl - INFO - Epoch [132][900/3746] lr: 3.810e-03, eta: 12:16:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5169, top5_acc: 0.7569, loss_cls: 3.1956, loss: 3.1956 +2024-01-03 03:30:35,339 - pyskl - INFO - Epoch [132][1000/3746] lr: 3.799e-03, eta: 12:15:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5128, top5_acc: 0.7622, loss_cls: 3.1914, loss: 3.1914 +2024-01-03 03:31:34,510 - pyskl - INFO - Epoch [132][1100/3746] lr: 3.789e-03, eta: 12:13:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5277, top5_acc: 0.7678, loss_cls: 3.1738, loss: 3.1738 +2024-01-03 03:32:33,906 - pyskl - INFO - Epoch [132][1200/3746] lr: 3.778e-03, eta: 12:12:52, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5178, top5_acc: 0.7725, loss_cls: 3.1736, loss: 3.1736 +2024-01-03 03:33:33,055 - pyskl - INFO - Epoch [132][1300/3746] lr: 3.767e-03, eta: 12:11:48, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5205, top5_acc: 0.7677, loss_cls: 3.1798, loss: 3.1798 +2024-01-03 03:34:32,219 - pyskl - INFO - Epoch [132][1400/3746] lr: 3.757e-03, eta: 12:10:44, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5123, top5_acc: 0.7583, loss_cls: 3.2074, loss: 3.2074 +2024-01-03 03:35:31,444 - pyskl - INFO - Epoch [132][1500/3746] lr: 3.746e-03, eta: 12:09:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5108, top5_acc: 0.7648, loss_cls: 3.1985, loss: 3.1985 +2024-01-03 03:36:30,807 - pyskl - INFO - Epoch [132][1600/3746] lr: 3.735e-03, eta: 12:08:36, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5066, top5_acc: 0.7575, loss_cls: 3.2318, loss: 3.2318 +2024-01-03 03:37:30,136 - pyskl - INFO - Epoch [132][1700/3746] lr: 3.725e-03, eta: 12:07:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5103, top5_acc: 0.7588, loss_cls: 3.2503, loss: 3.2503 +2024-01-03 03:38:29,219 - pyskl - INFO - Epoch [132][1800/3746] lr: 3.714e-03, eta: 12:06:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5148, top5_acc: 0.7588, loss_cls: 3.2085, loss: 3.2085 +2024-01-03 03:39:28,198 - pyskl - INFO - Epoch [132][1900/3746] lr: 3.704e-03, eta: 12:05:24, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5039, top5_acc: 0.7641, loss_cls: 3.2374, loss: 3.2374 +2024-01-03 03:40:28,111 - pyskl - INFO - Epoch [132][2000/3746] lr: 3.693e-03, eta: 12:04:20, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5066, top5_acc: 0.7581, loss_cls: 3.2333, loss: 3.2333 +2024-01-03 03:41:28,080 - pyskl - INFO - Epoch [132][2100/3746] lr: 3.683e-03, eta: 12:03:16, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5145, top5_acc: 0.7598, loss_cls: 3.2109, loss: 3.2109 +2024-01-03 03:42:27,305 - pyskl - INFO - Epoch [132][2200/3746] lr: 3.672e-03, eta: 12:02:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5169, top5_acc: 0.7594, loss_cls: 3.2359, loss: 3.2359 +2024-01-03 03:43:26,328 - pyskl - INFO - Epoch [132][2300/3746] lr: 3.662e-03, eta: 12:01:08, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5220, top5_acc: 0.7675, loss_cls: 3.1844, loss: 3.1844 +2024-01-03 03:44:25,354 - pyskl - INFO - Epoch [132][2400/3746] lr: 3.651e-03, eta: 12:00:04, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5120, top5_acc: 0.7731, loss_cls: 3.1942, loss: 3.1942 +2024-01-03 03:45:24,104 - pyskl - INFO - Epoch [132][2500/3746] lr: 3.641e-03, eta: 11:59:00, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5094, top5_acc: 0.7566, loss_cls: 3.2284, loss: 3.2284 +2024-01-03 03:46:22,846 - pyskl - INFO - Epoch [132][2600/3746] lr: 3.630e-03, eta: 11:57:55, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5138, top5_acc: 0.7598, loss_cls: 3.2251, loss: 3.2251 +2024-01-03 03:47:22,084 - pyskl - INFO - Epoch [132][2700/3746] lr: 3.620e-03, eta: 11:56:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5195, top5_acc: 0.7564, loss_cls: 3.2202, loss: 3.2202 +2024-01-03 03:48:21,850 - pyskl - INFO - Epoch [132][2800/3746] lr: 3.609e-03, eta: 11:55:48, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5078, top5_acc: 0.7581, loss_cls: 3.2432, loss: 3.2432 +2024-01-03 03:49:21,253 - pyskl - INFO - Epoch [132][2900/3746] lr: 3.599e-03, eta: 11:54:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5103, top5_acc: 0.7533, loss_cls: 3.2434, loss: 3.2434 +2024-01-03 03:50:20,714 - pyskl - INFO - Epoch [132][3000/3746] lr: 3.588e-03, eta: 11:53:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5156, top5_acc: 0.7578, loss_cls: 3.2307, loss: 3.2307 +2024-01-03 03:51:20,206 - pyskl - INFO - Epoch [132][3100/3746] lr: 3.578e-03, eta: 11:52:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5123, top5_acc: 0.7597, loss_cls: 3.2138, loss: 3.2138 +2024-01-03 03:52:18,995 - pyskl - INFO - Epoch [132][3200/3746] lr: 3.568e-03, eta: 11:51:32, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5136, top5_acc: 0.7672, loss_cls: 3.2105, loss: 3.2105 +2024-01-03 03:53:18,025 - pyskl - INFO - Epoch [132][3300/3746] lr: 3.557e-03, eta: 11:50:28, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5134, top5_acc: 0.7595, loss_cls: 3.2148, loss: 3.2148 +2024-01-03 03:54:17,573 - pyskl - INFO - Epoch [132][3400/3746] lr: 3.547e-03, eta: 11:49:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.4952, top5_acc: 0.7411, loss_cls: 3.3049, loss: 3.3049 +2024-01-03 03:55:17,229 - pyskl - INFO - Epoch [132][3500/3746] lr: 3.537e-03, eta: 11:48:20, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5130, top5_acc: 0.7567, loss_cls: 3.2262, loss: 3.2262 +2024-01-03 03:56:16,874 - pyskl - INFO - Epoch [132][3600/3746] lr: 3.526e-03, eta: 11:47:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.4981, top5_acc: 0.7478, loss_cls: 3.2789, loss: 3.2789 +2024-01-03 03:57:16,390 - pyskl - INFO - Epoch [132][3700/3746] lr: 3.516e-03, eta: 11:46:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5031, top5_acc: 0.7491, loss_cls: 3.2795, loss: 3.2795 +2024-01-03 03:57:46,188 - pyskl - INFO - Saving checkpoint at 132 epochs +2024-01-03 03:59:40,779 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 03:59:41,819 - pyskl - INFO - +top1_acc 0.4196 +top5_acc 0.6679 +2024-01-03 03:59:41,819 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 03:59:41,859 - pyskl - INFO - +mean_acc 0.4193 +2024-01-03 03:59:41,867 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_131.pth was removed +2024-01-03 03:59:42,175 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_132.pth. +2024-01-03 03:59:42,175 - pyskl - INFO - Best top1_acc is 0.4196 at 132 epoch. +2024-01-03 03:59:42,185 - pyskl - INFO - Epoch(val) [132][309] top1_acc: 0.4196, top5_acc: 0.6679, mean_class_accuracy: 0.4193 +2024-01-03 04:03:02,813 - pyskl - INFO - Epoch [133][100/3746] lr: 3.501e-03, eta: 11:45:16, time: 2.006, data_time: 1.407, memory: 16177, top1_acc: 0.5325, top5_acc: 0.7791, loss_cls: 3.1040, loss: 3.1040 +2024-01-03 04:04:02,636 - pyskl - INFO - Epoch [133][200/3746] lr: 3.491e-03, eta: 11:44:12, time: 0.598, data_time: 0.001, memory: 16177, top1_acc: 0.5270, top5_acc: 0.7764, loss_cls: 3.1164, loss: 3.1164 +2024-01-03 04:05:01,962 - pyskl - INFO - Epoch [133][300/3746] lr: 3.480e-03, eta: 11:43:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5358, top5_acc: 0.7856, loss_cls: 3.0892, loss: 3.0892 +2024-01-03 04:06:01,115 - pyskl - INFO - Epoch [133][400/3746] lr: 3.470e-03, eta: 11:42:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5328, top5_acc: 0.7778, loss_cls: 3.1033, loss: 3.1033 +2024-01-03 04:07:00,356 - pyskl - INFO - Epoch [133][500/3746] lr: 3.460e-03, eta: 11:41:00, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5255, top5_acc: 0.7681, loss_cls: 3.1465, loss: 3.1465 +2024-01-03 04:07:59,521 - pyskl - INFO - Epoch [133][600/3746] lr: 3.450e-03, eta: 11:39:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5305, top5_acc: 0.7806, loss_cls: 3.1053, loss: 3.1053 +2024-01-03 04:08:58,531 - pyskl - INFO - Epoch [133][700/3746] lr: 3.440e-03, eta: 11:38:52, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5186, top5_acc: 0.7650, loss_cls: 3.1950, loss: 3.1950 +2024-01-03 04:09:57,443 - pyskl - INFO - Epoch [133][800/3746] lr: 3.429e-03, eta: 11:37:48, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5256, top5_acc: 0.7698, loss_cls: 3.1543, loss: 3.1543 +2024-01-03 04:10:56,426 - pyskl - INFO - Epoch [133][900/3746] lr: 3.419e-03, eta: 11:36:44, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5386, top5_acc: 0.7739, loss_cls: 3.1244, loss: 3.1244 +2024-01-03 04:11:55,558 - pyskl - INFO - Epoch [133][1000/3746] lr: 3.409e-03, eta: 11:35:40, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5158, top5_acc: 0.7658, loss_cls: 3.1899, loss: 3.1899 +2024-01-03 04:12:54,581 - pyskl - INFO - Epoch [133][1100/3746] lr: 3.399e-03, eta: 11:34:36, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5269, top5_acc: 0.7742, loss_cls: 3.1422, loss: 3.1422 +2024-01-03 04:13:53,569 - pyskl - INFO - Epoch [133][1200/3746] lr: 3.389e-03, eta: 11:33:32, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5170, top5_acc: 0.7650, loss_cls: 3.1945, loss: 3.1945 +2024-01-03 04:14:52,958 - pyskl - INFO - Epoch [133][1300/3746] lr: 3.379e-03, eta: 11:32:28, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5212, top5_acc: 0.7681, loss_cls: 3.1724, loss: 3.1724 +2024-01-03 04:15:52,316 - pyskl - INFO - Epoch [133][1400/3746] lr: 3.369e-03, eta: 11:31:24, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5273, top5_acc: 0.7702, loss_cls: 3.1581, loss: 3.1581 +2024-01-03 04:16:51,422 - pyskl - INFO - Epoch [133][1500/3746] lr: 3.359e-03, eta: 11:30:20, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5203, top5_acc: 0.7642, loss_cls: 3.1974, loss: 3.1974 +2024-01-03 04:17:50,643 - pyskl - INFO - Epoch [133][1600/3746] lr: 3.348e-03, eta: 11:29:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5125, top5_acc: 0.7623, loss_cls: 3.2106, loss: 3.2106 +2024-01-03 04:18:49,812 - pyskl - INFO - Epoch [133][1700/3746] lr: 3.338e-03, eta: 11:28:12, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5255, top5_acc: 0.7680, loss_cls: 3.1570, loss: 3.1570 +2024-01-03 04:19:49,158 - pyskl - INFO - Epoch [133][1800/3746] lr: 3.328e-03, eta: 11:27:08, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5288, top5_acc: 0.7761, loss_cls: 3.1349, loss: 3.1349 +2024-01-03 04:20:48,378 - pyskl - INFO - Epoch [133][1900/3746] lr: 3.318e-03, eta: 11:26:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5123, top5_acc: 0.7659, loss_cls: 3.1982, loss: 3.1982 +2024-01-03 04:21:48,023 - pyskl - INFO - Epoch [133][2000/3746] lr: 3.308e-03, eta: 11:25:00, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5125, top5_acc: 0.7648, loss_cls: 3.1841, loss: 3.1841 +2024-01-03 04:22:47,786 - pyskl - INFO - Epoch [133][2100/3746] lr: 3.298e-03, eta: 11:23:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5194, top5_acc: 0.7605, loss_cls: 3.1928, loss: 3.1928 +2024-01-03 04:23:46,954 - pyskl - INFO - Epoch [133][2200/3746] lr: 3.288e-03, eta: 11:22:53, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5167, top5_acc: 0.7622, loss_cls: 3.1888, loss: 3.1888 +2024-01-03 04:24:46,180 - pyskl - INFO - Epoch [133][2300/3746] lr: 3.278e-03, eta: 11:21:49, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5111, top5_acc: 0.7555, loss_cls: 3.2304, loss: 3.2304 +2024-01-03 04:25:45,299 - pyskl - INFO - Epoch [133][2400/3746] lr: 3.268e-03, eta: 11:20:45, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5194, top5_acc: 0.7653, loss_cls: 3.1934, loss: 3.1934 +2024-01-03 04:26:44,427 - pyskl - INFO - Epoch [133][2500/3746] lr: 3.259e-03, eta: 11:19:41, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5189, top5_acc: 0.7673, loss_cls: 3.1769, loss: 3.1769 +2024-01-03 04:27:43,407 - pyskl - INFO - Epoch [133][2600/3746] lr: 3.249e-03, eta: 11:18:37, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5203, top5_acc: 0.7648, loss_cls: 3.1799, loss: 3.1799 +2024-01-03 04:28:43,440 - pyskl - INFO - Epoch [133][2700/3746] lr: 3.239e-03, eta: 11:17:33, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5030, top5_acc: 0.7506, loss_cls: 3.2474, loss: 3.2474 +2024-01-03 04:29:43,290 - pyskl - INFO - Epoch [133][2800/3746] lr: 3.229e-03, eta: 11:16:29, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5211, top5_acc: 0.7744, loss_cls: 3.1732, loss: 3.1732 +2024-01-03 04:30:42,812 - pyskl - INFO - Epoch [133][2900/3746] lr: 3.219e-03, eta: 11:15:25, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5059, top5_acc: 0.7473, loss_cls: 3.2682, loss: 3.2682 +2024-01-03 04:31:41,740 - pyskl - INFO - Epoch [133][3000/3746] lr: 3.209e-03, eta: 11:14:21, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5169, top5_acc: 0.7639, loss_cls: 3.1895, loss: 3.1895 +2024-01-03 04:32:41,132 - pyskl - INFO - Epoch [133][3100/3746] lr: 3.199e-03, eta: 11:13:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5019, top5_acc: 0.7566, loss_cls: 3.2504, loss: 3.2504 +2024-01-03 04:33:40,063 - pyskl - INFO - Epoch [133][3200/3746] lr: 3.189e-03, eta: 11:12:14, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5244, top5_acc: 0.7725, loss_cls: 3.1299, loss: 3.1299 +2024-01-03 04:34:39,291 - pyskl - INFO - Epoch [133][3300/3746] lr: 3.180e-03, eta: 11:11:10, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5061, top5_acc: 0.7497, loss_cls: 3.2543, loss: 3.2543 +2024-01-03 04:35:38,818 - pyskl - INFO - Epoch [133][3400/3746] lr: 3.170e-03, eta: 11:10:06, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5220, top5_acc: 0.7597, loss_cls: 3.2052, loss: 3.2052 +2024-01-03 04:36:38,530 - pyskl - INFO - Epoch [133][3500/3746] lr: 3.160e-03, eta: 11:09:02, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5202, top5_acc: 0.7650, loss_cls: 3.1746, loss: 3.1746 +2024-01-03 04:37:38,058 - pyskl - INFO - Epoch [133][3600/3746] lr: 3.150e-03, eta: 11:07:58, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5272, top5_acc: 0.7609, loss_cls: 3.1974, loss: 3.1974 +2024-01-03 04:38:37,447 - pyskl - INFO - Epoch [133][3700/3746] lr: 3.140e-03, eta: 11:06:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5030, top5_acc: 0.7577, loss_cls: 3.2424, loss: 3.2424 +2024-01-03 04:39:08,021 - pyskl - INFO - Saving checkpoint at 133 epochs +2024-01-03 04:41:00,827 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 04:41:01,871 - pyskl - INFO - +top1_acc 0.4193 +top5_acc 0.6688 +2024-01-03 04:41:01,871 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 04:41:01,911 - pyskl - INFO - +mean_acc 0.4190 +2024-01-03 04:41:01,921 - pyskl - INFO - Epoch(val) [133][309] top1_acc: 0.4193, top5_acc: 0.6688, mean_class_accuracy: 0.4190 +2024-01-03 04:44:21,122 - pyskl - INFO - Epoch [134][100/3746] lr: 3.126e-03, eta: 11:05:55, time: 1.992, data_time: 1.398, memory: 16177, top1_acc: 0.5391, top5_acc: 0.7863, loss_cls: 3.0855, loss: 3.0855 +2024-01-03 04:45:20,307 - pyskl - INFO - Epoch [134][200/3746] lr: 3.117e-03, eta: 11:04:52, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5431, top5_acc: 0.7845, loss_cls: 3.0885, loss: 3.0885 +2024-01-03 04:46:19,607 - pyskl - INFO - Epoch [134][300/3746] lr: 3.107e-03, eta: 11:03:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7753, loss_cls: 3.1153, loss: 3.1153 +2024-01-03 04:47:18,816 - pyskl - INFO - Epoch [134][400/3746] lr: 3.097e-03, eta: 11:02:44, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5333, top5_acc: 0.7820, loss_cls: 3.0895, loss: 3.0895 +2024-01-03 04:48:18,014 - pyskl - INFO - Epoch [134][500/3746] lr: 3.087e-03, eta: 11:01:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5463, top5_acc: 0.7803, loss_cls: 3.0828, loss: 3.0828 +2024-01-03 04:49:16,926 - pyskl - INFO - Epoch [134][600/3746] lr: 3.078e-03, eta: 11:00:36, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5298, top5_acc: 0.7742, loss_cls: 3.1183, loss: 3.1183 +2024-01-03 04:50:16,269 - pyskl - INFO - Epoch [134][700/3746] lr: 3.068e-03, eta: 10:59:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5347, top5_acc: 0.7805, loss_cls: 3.0989, loss: 3.0989 +2024-01-03 04:51:15,417 - pyskl - INFO - Epoch [134][800/3746] lr: 3.059e-03, eta: 10:58:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5413, top5_acc: 0.7788, loss_cls: 3.1120, loss: 3.1120 +2024-01-03 04:52:14,623 - pyskl - INFO - Epoch [134][900/3746] lr: 3.049e-03, eta: 10:57:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5222, top5_acc: 0.7686, loss_cls: 3.1501, loss: 3.1501 +2024-01-03 04:53:13,782 - pyskl - INFO - Epoch [134][1000/3746] lr: 3.039e-03, eta: 10:56:20, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5294, top5_acc: 0.7672, loss_cls: 3.1569, loss: 3.1569 +2024-01-03 04:54:12,771 - pyskl - INFO - Epoch [134][1100/3746] lr: 3.030e-03, eta: 10:55:16, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5300, top5_acc: 0.7753, loss_cls: 3.1238, loss: 3.1238 +2024-01-03 04:55:11,718 - pyskl - INFO - Epoch [134][1200/3746] lr: 3.020e-03, eta: 10:54:12, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5180, top5_acc: 0.7586, loss_cls: 3.1851, loss: 3.1851 +2024-01-03 04:56:10,853 - pyskl - INFO - Epoch [134][1300/3746] lr: 3.011e-03, eta: 10:53:08, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5253, top5_acc: 0.7745, loss_cls: 3.1334, loss: 3.1334 +2024-01-03 04:57:10,063 - pyskl - INFO - Epoch [134][1400/3746] lr: 3.001e-03, eta: 10:52:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5284, top5_acc: 0.7706, loss_cls: 3.1444, loss: 3.1444 +2024-01-03 04:58:09,006 - pyskl - INFO - Epoch [134][1500/3746] lr: 2.991e-03, eta: 10:51:00, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5216, top5_acc: 0.7681, loss_cls: 3.1461, loss: 3.1461 +2024-01-03 04:59:08,064 - pyskl - INFO - Epoch [134][1600/3746] lr: 2.982e-03, eta: 10:49:56, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5208, top5_acc: 0.7712, loss_cls: 3.1634, loss: 3.1634 +2024-01-03 05:00:07,186 - pyskl - INFO - Epoch [134][1700/3746] lr: 2.972e-03, eta: 10:48:53, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5292, top5_acc: 0.7753, loss_cls: 3.1149, loss: 3.1149 +2024-01-03 05:01:06,358 - pyskl - INFO - Epoch [134][1800/3746] lr: 2.963e-03, eta: 10:47:49, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5327, top5_acc: 0.7783, loss_cls: 3.1312, loss: 3.1312 +2024-01-03 05:02:05,404 - pyskl - INFO - Epoch [134][1900/3746] lr: 2.953e-03, eta: 10:46:45, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5302, top5_acc: 0.7753, loss_cls: 3.1381, loss: 3.1381 +2024-01-03 05:03:04,416 - pyskl - INFO - Epoch [134][2000/3746] lr: 2.944e-03, eta: 10:45:41, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5298, top5_acc: 0.7773, loss_cls: 3.0974, loss: 3.0974 +2024-01-03 05:04:03,863 - pyskl - INFO - Epoch [134][2100/3746] lr: 2.935e-03, eta: 10:44:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5258, top5_acc: 0.7709, loss_cls: 3.1515, loss: 3.1515 +2024-01-03 05:05:03,533 - pyskl - INFO - Epoch [134][2200/3746] lr: 2.925e-03, eta: 10:43:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5320, top5_acc: 0.7717, loss_cls: 3.1309, loss: 3.1309 +2024-01-03 05:06:02,523 - pyskl - INFO - Epoch [134][2300/3746] lr: 2.916e-03, eta: 10:42:29, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5358, top5_acc: 0.7770, loss_cls: 3.1193, loss: 3.1193 +2024-01-03 05:07:01,509 - pyskl - INFO - Epoch [134][2400/3746] lr: 2.906e-03, eta: 10:41:26, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5245, top5_acc: 0.7728, loss_cls: 3.1478, loss: 3.1478 +2024-01-03 05:08:00,642 - pyskl - INFO - Epoch [134][2500/3746] lr: 2.897e-03, eta: 10:40:22, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5302, top5_acc: 0.7733, loss_cls: 3.1467, loss: 3.1467 +2024-01-03 05:08:59,582 - pyskl - INFO - Epoch [134][2600/3746] lr: 2.888e-03, eta: 10:39:18, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5284, top5_acc: 0.7691, loss_cls: 3.1693, loss: 3.1693 +2024-01-03 05:09:59,225 - pyskl - INFO - Epoch [134][2700/3746] lr: 2.878e-03, eta: 10:38:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5244, top5_acc: 0.7672, loss_cls: 3.1700, loss: 3.1700 +2024-01-03 05:10:59,226 - pyskl - INFO - Epoch [134][2800/3746] lr: 2.869e-03, eta: 10:37:10, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5175, top5_acc: 0.7736, loss_cls: 3.1480, loss: 3.1480 +2024-01-03 05:11:58,228 - pyskl - INFO - Epoch [134][2900/3746] lr: 2.860e-03, eta: 10:36:07, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5198, top5_acc: 0.7769, loss_cls: 3.1438, loss: 3.1438 +2024-01-03 05:12:57,178 - pyskl - INFO - Epoch [134][3000/3746] lr: 2.850e-03, eta: 10:35:03, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5245, top5_acc: 0.7619, loss_cls: 3.1969, loss: 3.1969 +2024-01-03 05:13:56,492 - pyskl - INFO - Epoch [134][3100/3746] lr: 2.841e-03, eta: 10:33:59, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5297, top5_acc: 0.7719, loss_cls: 3.1383, loss: 3.1383 +2024-01-03 05:14:55,494 - pyskl - INFO - Epoch [134][3200/3746] lr: 2.832e-03, eta: 10:32:55, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5214, top5_acc: 0.7656, loss_cls: 3.1739, loss: 3.1739 +2024-01-03 05:15:54,689 - pyskl - INFO - Epoch [134][3300/3746] lr: 2.822e-03, eta: 10:31:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5247, top5_acc: 0.7644, loss_cls: 3.1544, loss: 3.1544 +2024-01-03 05:16:53,462 - pyskl - INFO - Epoch [134][3400/3746] lr: 2.813e-03, eta: 10:30:47, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5342, top5_acc: 0.7644, loss_cls: 3.1600, loss: 3.1600 +2024-01-03 05:17:53,025 - pyskl - INFO - Epoch [134][3500/3746] lr: 2.804e-03, eta: 10:29:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5183, top5_acc: 0.7642, loss_cls: 3.1798, loss: 3.1798 +2024-01-03 05:18:52,678 - pyskl - INFO - Epoch [134][3600/3746] lr: 2.795e-03, eta: 10:28:40, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5242, top5_acc: 0.7664, loss_cls: 3.1677, loss: 3.1677 +2024-01-03 05:19:52,152 - pyskl - INFO - Epoch [134][3700/3746] lr: 2.786e-03, eta: 10:27:36, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5234, top5_acc: 0.7728, loss_cls: 3.1580, loss: 3.1580 +2024-01-03 05:20:21,678 - pyskl - INFO - Saving checkpoint at 134 epochs +2024-01-03 05:22:14,537 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 05:22:15,577 - pyskl - INFO - +top1_acc 0.4228 +top5_acc 0.6710 +2024-01-03 05:22:15,577 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 05:22:15,632 - pyskl - INFO - +mean_acc 0.4225 +2024-01-03 05:22:15,644 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_132.pth was removed +2024-01-03 05:22:15,903 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_134.pth. +2024-01-03 05:22:15,903 - pyskl - INFO - Best top1_acc is 0.4228 at 134 epoch. +2024-01-03 05:22:15,910 - pyskl - INFO - Epoch(val) [134][309] top1_acc: 0.4228, top5_acc: 0.6710, mean_class_accuracy: 0.4225 +2024-01-03 05:25:25,260 - pyskl - INFO - Epoch [135][100/3746] lr: 2.772e-03, eta: 10:26:32, time: 1.893, data_time: 1.302, memory: 16177, top1_acc: 0.5513, top5_acc: 0.7913, loss_cls: 3.0252, loss: 3.0252 +2024-01-03 05:26:24,506 - pyskl - INFO - Epoch [135][200/3746] lr: 2.763e-03, eta: 10:25:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5436, top5_acc: 0.7883, loss_cls: 3.0499, loss: 3.0499 +2024-01-03 05:27:24,190 - pyskl - INFO - Epoch [135][300/3746] lr: 2.754e-03, eta: 10:24:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5450, top5_acc: 0.7819, loss_cls: 3.0602, loss: 3.0602 +2024-01-03 05:28:23,660 - pyskl - INFO - Epoch [135][400/3746] lr: 2.745e-03, eta: 10:23:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5572, top5_acc: 0.8033, loss_cls: 2.9800, loss: 2.9800 +2024-01-03 05:29:23,247 - pyskl - INFO - Epoch [135][500/3746] lr: 2.735e-03, eta: 10:22:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5453, top5_acc: 0.7814, loss_cls: 3.0632, loss: 3.0632 +2024-01-03 05:30:22,814 - pyskl - INFO - Epoch [135][600/3746] lr: 2.726e-03, eta: 10:21:13, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5394, top5_acc: 0.7855, loss_cls: 3.0842, loss: 3.0842 +2024-01-03 05:31:22,060 - pyskl - INFO - Epoch [135][700/3746] lr: 2.717e-03, eta: 10:20:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5369, top5_acc: 0.7814, loss_cls: 3.0767, loss: 3.0767 +2024-01-03 05:32:21,068 - pyskl - INFO - Epoch [135][800/3746] lr: 2.708e-03, eta: 10:19:06, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5364, top5_acc: 0.7795, loss_cls: 3.0847, loss: 3.0847 +2024-01-03 05:33:19,708 - pyskl - INFO - Epoch [135][900/3746] lr: 2.699e-03, eta: 10:18:02, time: 0.586, data_time: 0.000, memory: 16177, top1_acc: 0.5347, top5_acc: 0.7805, loss_cls: 3.1005, loss: 3.1005 +2024-01-03 05:34:18,824 - pyskl - INFO - Epoch [135][1000/3746] lr: 2.690e-03, eta: 10:16:58, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5403, top5_acc: 0.7856, loss_cls: 3.0761, loss: 3.0761 +2024-01-03 05:35:17,828 - pyskl - INFO - Epoch [135][1100/3746] lr: 2.681e-03, eta: 10:15:54, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5484, top5_acc: 0.7887, loss_cls: 3.0548, loss: 3.0548 +2024-01-03 05:36:16,684 - pyskl - INFO - Epoch [135][1200/3746] lr: 2.672e-03, eta: 10:14:50, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5327, top5_acc: 0.7895, loss_cls: 3.0667, loss: 3.0667 +2024-01-03 05:37:15,645 - pyskl - INFO - Epoch [135][1300/3746] lr: 2.663e-03, eta: 10:13:46, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5336, top5_acc: 0.7669, loss_cls: 3.1348, loss: 3.1348 +2024-01-03 05:38:14,730 - pyskl - INFO - Epoch [135][1400/3746] lr: 2.654e-03, eta: 10:12:42, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5447, top5_acc: 0.7786, loss_cls: 3.0854, loss: 3.0854 +2024-01-03 05:39:13,911 - pyskl - INFO - Epoch [135][1500/3746] lr: 2.645e-03, eta: 10:11:39, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7814, loss_cls: 3.0849, loss: 3.0849 +2024-01-03 05:40:12,667 - pyskl - INFO - Epoch [135][1600/3746] lr: 2.636e-03, eta: 10:10:35, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5278, top5_acc: 0.7720, loss_cls: 3.1416, loss: 3.1416 +2024-01-03 05:41:11,412 - pyskl - INFO - Epoch [135][1700/3746] lr: 2.627e-03, eta: 10:09:31, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5369, top5_acc: 0.7809, loss_cls: 3.0810, loss: 3.0810 +2024-01-03 05:42:10,346 - pyskl - INFO - Epoch [135][1800/3746] lr: 2.618e-03, eta: 10:08:27, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5375, top5_acc: 0.7712, loss_cls: 3.1146, loss: 3.1146 +2024-01-03 05:43:09,317 - pyskl - INFO - Epoch [135][1900/3746] lr: 2.609e-03, eta: 10:07:23, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5389, top5_acc: 0.7875, loss_cls: 3.0744, loss: 3.0744 +2024-01-03 05:44:08,235 - pyskl - INFO - Epoch [135][2000/3746] lr: 2.600e-03, eta: 10:06:19, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5200, top5_acc: 0.7691, loss_cls: 3.1524, loss: 3.1524 +2024-01-03 05:45:07,894 - pyskl - INFO - Epoch [135][2100/3746] lr: 2.591e-03, eta: 10:05:16, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5403, top5_acc: 0.7828, loss_cls: 3.0947, loss: 3.0947 +2024-01-03 05:46:07,484 - pyskl - INFO - Epoch [135][2200/3746] lr: 2.583e-03, eta: 10:04:12, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5341, top5_acc: 0.7777, loss_cls: 3.1054, loss: 3.1054 +2024-01-03 05:47:06,625 - pyskl - INFO - Epoch [135][2300/3746] lr: 2.574e-03, eta: 10:03:08, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5437, top5_acc: 0.7827, loss_cls: 3.0773, loss: 3.0773 +2024-01-03 05:48:06,010 - pyskl - INFO - Epoch [135][2400/3746] lr: 2.565e-03, eta: 10:02:05, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5248, top5_acc: 0.7730, loss_cls: 3.1296, loss: 3.1296 +2024-01-03 05:49:05,394 - pyskl - INFO - Epoch [135][2500/3746] lr: 2.556e-03, eta: 10:01:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5311, top5_acc: 0.7766, loss_cls: 3.1041, loss: 3.1041 +2024-01-03 05:50:04,399 - pyskl - INFO - Epoch [135][2600/3746] lr: 2.547e-03, eta: 9:59:57, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5352, top5_acc: 0.7720, loss_cls: 3.1144, loss: 3.1144 +2024-01-03 05:51:03,942 - pyskl - INFO - Epoch [135][2700/3746] lr: 2.538e-03, eta: 9:58:53, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5345, top5_acc: 0.7733, loss_cls: 3.1245, loss: 3.1245 +2024-01-03 05:52:03,826 - pyskl - INFO - Epoch [135][2800/3746] lr: 2.530e-03, eta: 9:57:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5269, top5_acc: 0.7739, loss_cls: 3.1309, loss: 3.1309 +2024-01-03 05:53:02,833 - pyskl - INFO - Epoch [135][2900/3746] lr: 2.521e-03, eta: 9:56:46, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5306, top5_acc: 0.7767, loss_cls: 3.1213, loss: 3.1213 +2024-01-03 05:54:02,403 - pyskl - INFO - Epoch [135][3000/3746] lr: 2.512e-03, eta: 9:55:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5372, top5_acc: 0.7820, loss_cls: 3.0877, loss: 3.0877 +2024-01-03 05:55:02,007 - pyskl - INFO - Epoch [135][3100/3746] lr: 2.503e-03, eta: 9:54:39, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5416, top5_acc: 0.7791, loss_cls: 3.1066, loss: 3.1066 +2024-01-03 05:56:01,410 - pyskl - INFO - Epoch [135][3200/3746] lr: 2.495e-03, eta: 9:53:35, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5400, top5_acc: 0.7745, loss_cls: 3.1161, loss: 3.1161 +2024-01-03 05:57:00,483 - pyskl - INFO - Epoch [135][3300/3746] lr: 2.486e-03, eta: 9:52:31, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5222, top5_acc: 0.7645, loss_cls: 3.1681, loss: 3.1681 +2024-01-03 05:57:59,812 - pyskl - INFO - Epoch [135][3400/3746] lr: 2.477e-03, eta: 9:51:28, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5253, top5_acc: 0.7703, loss_cls: 3.1433, loss: 3.1433 +2024-01-03 05:58:59,658 - pyskl - INFO - Epoch [135][3500/3746] lr: 2.469e-03, eta: 9:50:24, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5366, top5_acc: 0.7783, loss_cls: 3.1004, loss: 3.1004 +2024-01-03 05:59:59,632 - pyskl - INFO - Epoch [135][3600/3746] lr: 2.460e-03, eta: 9:49:21, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5319, top5_acc: 0.7753, loss_cls: 3.1296, loss: 3.1296 +2024-01-03 06:00:59,753 - pyskl - INFO - Epoch [135][3700/3746] lr: 2.451e-03, eta: 9:48:17, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5334, top5_acc: 0.7800, loss_cls: 3.1098, loss: 3.1098 +2024-01-03 06:01:29,857 - pyskl - INFO - Saving checkpoint at 135 epochs +2024-01-03 06:03:21,977 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 06:03:22,795 - pyskl - INFO - +top1_acc 0.4243 +top5_acc 0.6773 +2024-01-03 06:03:22,795 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 06:03:22,830 - pyskl - INFO - +mean_acc 0.4241 +2024-01-03 06:03:22,835 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_134.pth was removed +2024-01-03 06:03:23,103 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_135.pth. +2024-01-03 06:03:23,104 - pyskl - INFO - Best top1_acc is 0.4243 at 135 epoch. +2024-01-03 06:03:23,111 - pyskl - INFO - Epoch(val) [135][309] top1_acc: 0.4243, top5_acc: 0.6773, mean_class_accuracy: 0.4241 +2024-01-03 06:06:42,131 - pyskl - INFO - Epoch [136][100/3746] lr: 2.439e-03, eta: 9:47:13, time: 1.990, data_time: 1.397, memory: 16177, top1_acc: 0.5591, top5_acc: 0.7953, loss_cls: 3.0089, loss: 3.0089 +2024-01-03 06:07:41,935 - pyskl - INFO - Epoch [136][200/3746] lr: 2.430e-03, eta: 9:46:10, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5652, top5_acc: 0.8045, loss_cls: 2.9544, loss: 2.9544 +2024-01-03 06:08:41,317 - pyskl - INFO - Epoch [136][300/3746] lr: 2.421e-03, eta: 9:45:06, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5602, top5_acc: 0.8000, loss_cls: 2.9806, loss: 2.9806 +2024-01-03 06:09:40,296 - pyskl - INFO - Epoch [136][400/3746] lr: 2.413e-03, eta: 9:44:02, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5617, top5_acc: 0.7950, loss_cls: 2.9752, loss: 2.9752 +2024-01-03 06:10:39,245 - pyskl - INFO - Epoch [136][500/3746] lr: 2.404e-03, eta: 9:42:58, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5431, top5_acc: 0.7872, loss_cls: 3.0613, loss: 3.0613 +2024-01-03 06:11:38,213 - pyskl - INFO - Epoch [136][600/3746] lr: 2.396e-03, eta: 9:41:55, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5452, top5_acc: 0.7884, loss_cls: 3.0681, loss: 3.0681 +2024-01-03 06:12:37,163 - pyskl - INFO - Epoch [136][700/3746] lr: 2.387e-03, eta: 9:40:51, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5597, top5_acc: 0.7953, loss_cls: 3.0061, loss: 3.0061 +2024-01-03 06:13:36,254 - pyskl - INFO - Epoch [136][800/3746] lr: 2.379e-03, eta: 9:39:47, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5372, top5_acc: 0.7894, loss_cls: 3.0689, loss: 3.0689 +2024-01-03 06:14:35,386 - pyskl - INFO - Epoch [136][900/3746] lr: 2.370e-03, eta: 9:38:43, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5439, top5_acc: 0.7923, loss_cls: 3.0362, loss: 3.0362 +2024-01-03 06:15:34,373 - pyskl - INFO - Epoch [136][1000/3746] lr: 2.362e-03, eta: 9:37:40, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5547, top5_acc: 0.7948, loss_cls: 2.9954, loss: 2.9954 +2024-01-03 06:16:33,524 - pyskl - INFO - Epoch [136][1100/3746] lr: 2.353e-03, eta: 9:36:36, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5491, top5_acc: 0.7853, loss_cls: 3.0482, loss: 3.0482 +2024-01-03 06:17:32,464 - pyskl - INFO - Epoch [136][1200/3746] lr: 2.345e-03, eta: 9:35:32, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5527, top5_acc: 0.7845, loss_cls: 3.0402, loss: 3.0402 +2024-01-03 06:18:31,637 - pyskl - INFO - Epoch [136][1300/3746] lr: 2.336e-03, eta: 9:34:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5403, top5_acc: 0.7850, loss_cls: 3.0665, loss: 3.0665 +2024-01-03 06:19:30,679 - pyskl - INFO - Epoch [136][1400/3746] lr: 2.328e-03, eta: 9:33:25, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5444, top5_acc: 0.7858, loss_cls: 3.0420, loss: 3.0420 +2024-01-03 06:20:29,376 - pyskl - INFO - Epoch [136][1500/3746] lr: 2.319e-03, eta: 9:32:21, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5291, top5_acc: 0.7744, loss_cls: 3.1251, loss: 3.1251 +2024-01-03 06:21:28,470 - pyskl - INFO - Epoch [136][1600/3746] lr: 2.311e-03, eta: 9:31:17, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5427, top5_acc: 0.7861, loss_cls: 3.0643, loss: 3.0643 +2024-01-03 06:22:27,660 - pyskl - INFO - Epoch [136][1700/3746] lr: 2.303e-03, eta: 9:30:13, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5339, top5_acc: 0.7858, loss_cls: 3.0900, loss: 3.0900 +2024-01-03 06:23:26,844 - pyskl - INFO - Epoch [136][1800/3746] lr: 2.294e-03, eta: 9:29:10, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5481, top5_acc: 0.7887, loss_cls: 3.0436, loss: 3.0436 +2024-01-03 06:24:25,817 - pyskl - INFO - Epoch [136][1900/3746] lr: 2.286e-03, eta: 9:28:06, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5448, top5_acc: 0.7914, loss_cls: 3.0444, loss: 3.0444 +2024-01-03 06:25:24,637 - pyskl - INFO - Epoch [136][2000/3746] lr: 2.277e-03, eta: 9:27:02, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5467, top5_acc: 0.7922, loss_cls: 3.0532, loss: 3.0532 +2024-01-03 06:26:23,462 - pyskl - INFO - Epoch [136][2100/3746] lr: 2.269e-03, eta: 9:25:59, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5389, top5_acc: 0.7802, loss_cls: 3.0826, loss: 3.0826 +2024-01-03 06:27:22,782 - pyskl - INFO - Epoch [136][2200/3746] lr: 2.261e-03, eta: 9:24:55, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5405, top5_acc: 0.7861, loss_cls: 3.0793, loss: 3.0793 +2024-01-03 06:28:22,927 - pyskl - INFO - Epoch [136][2300/3746] lr: 2.253e-03, eta: 9:23:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5381, top5_acc: 0.7808, loss_cls: 3.1018, loss: 3.1018 +2024-01-03 06:29:22,135 - pyskl - INFO - Epoch [136][2400/3746] lr: 2.244e-03, eta: 9:22:48, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5414, top5_acc: 0.7817, loss_cls: 3.0845, loss: 3.0845 +2024-01-03 06:30:21,494 - pyskl - INFO - Epoch [136][2500/3746] lr: 2.236e-03, eta: 9:21:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5428, top5_acc: 0.7811, loss_cls: 3.0706, loss: 3.0706 +2024-01-03 06:31:20,675 - pyskl - INFO - Epoch [136][2600/3746] lr: 2.228e-03, eta: 9:20:41, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5369, top5_acc: 0.7850, loss_cls: 3.0683, loss: 3.0683 +2024-01-03 06:32:20,238 - pyskl - INFO - Epoch [136][2700/3746] lr: 2.219e-03, eta: 9:19:37, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5320, top5_acc: 0.7852, loss_cls: 3.0723, loss: 3.0723 +2024-01-03 06:33:20,171 - pyskl - INFO - Epoch [136][2800/3746] lr: 2.211e-03, eta: 9:18:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5519, top5_acc: 0.7925, loss_cls: 3.0383, loss: 3.0383 +2024-01-03 06:34:19,298 - pyskl - INFO - Epoch [136][2900/3746] lr: 2.203e-03, eta: 9:17:30, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5419, top5_acc: 0.7820, loss_cls: 3.0551, loss: 3.0551 +2024-01-03 06:35:18,703 - pyskl - INFO - Epoch [136][3000/3746] lr: 2.195e-03, eta: 9:16:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5378, top5_acc: 0.7830, loss_cls: 3.1020, loss: 3.1020 +2024-01-03 06:36:18,020 - pyskl - INFO - Epoch [136][3100/3746] lr: 2.187e-03, eta: 9:15:23, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5470, top5_acc: 0.7881, loss_cls: 3.0621, loss: 3.0621 +2024-01-03 06:37:16,902 - pyskl - INFO - Epoch [136][3200/3746] lr: 2.178e-03, eta: 9:14:19, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5348, top5_acc: 0.7798, loss_cls: 3.1218, loss: 3.1218 +2024-01-03 06:38:16,039 - pyskl - INFO - Epoch [136][3300/3746] lr: 2.170e-03, eta: 9:13:15, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5437, top5_acc: 0.7819, loss_cls: 3.0788, loss: 3.0788 +2024-01-03 06:39:15,479 - pyskl - INFO - Epoch [136][3400/3746] lr: 2.162e-03, eta: 9:12:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5534, top5_acc: 0.7947, loss_cls: 3.0308, loss: 3.0308 +2024-01-03 06:40:15,396 - pyskl - INFO - Epoch [136][3500/3746] lr: 2.154e-03, eta: 9:11:08, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5455, top5_acc: 0.7792, loss_cls: 3.0890, loss: 3.0890 +2024-01-03 06:41:15,700 - pyskl - INFO - Epoch [136][3600/3746] lr: 2.146e-03, eta: 9:10:05, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5380, top5_acc: 0.7819, loss_cls: 3.0880, loss: 3.0880 +2024-01-03 06:42:15,579 - pyskl - INFO - Epoch [136][3700/3746] lr: 2.138e-03, eta: 9:09:02, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5353, top5_acc: 0.7797, loss_cls: 3.0952, loss: 3.0952 +2024-01-03 06:42:45,496 - pyskl - INFO - Saving checkpoint at 136 epochs +2024-01-03 06:44:38,238 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 06:44:39,058 - pyskl - INFO - +top1_acc 0.4226 +top5_acc 0.6715 +2024-01-03 06:44:39,059 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 06:44:39,089 - pyskl - INFO - +mean_acc 0.4223 +2024-01-03 06:44:39,097 - pyskl - INFO - Epoch(val) [136][309] top1_acc: 0.4226, top5_acc: 0.6715, mean_class_accuracy: 0.4223 +2024-01-03 06:47:51,776 - pyskl - INFO - Epoch [137][100/3746] lr: 2.126e-03, eta: 9:07:54, time: 1.927, data_time: 1.329, memory: 16177, top1_acc: 0.5628, top5_acc: 0.8013, loss_cls: 2.9685, loss: 2.9685 +2024-01-03 06:48:51,427 - pyskl - INFO - Epoch [137][200/3746] lr: 2.118e-03, eta: 9:06:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5633, top5_acc: 0.8016, loss_cls: 2.9688, loss: 2.9688 +2024-01-03 06:49:50,833 - pyskl - INFO - Epoch [137][300/3746] lr: 2.110e-03, eta: 9:05:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5666, top5_acc: 0.7936, loss_cls: 2.9904, loss: 2.9904 +2024-01-03 06:50:49,765 - pyskl - INFO - Epoch [137][400/3746] lr: 2.102e-03, eta: 9:04:43, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5663, top5_acc: 0.7998, loss_cls: 2.9817, loss: 2.9817 +2024-01-03 06:51:48,642 - pyskl - INFO - Epoch [137][500/3746] lr: 2.094e-03, eta: 9:03:39, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5539, top5_acc: 0.7931, loss_cls: 3.0078, loss: 3.0078 +2024-01-03 06:52:47,385 - pyskl - INFO - Epoch [137][600/3746] lr: 2.086e-03, eta: 9:02:36, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5645, top5_acc: 0.7980, loss_cls: 2.9703, loss: 2.9703 +2024-01-03 06:53:46,456 - pyskl - INFO - Epoch [137][700/3746] lr: 2.078e-03, eta: 9:01:32, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5620, top5_acc: 0.7997, loss_cls: 2.9910, loss: 2.9910 +2024-01-03 06:54:45,690 - pyskl - INFO - Epoch [137][800/3746] lr: 2.070e-03, eta: 9:00:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5578, top5_acc: 0.7883, loss_cls: 3.0103, loss: 3.0103 +2024-01-03 06:55:44,756 - pyskl - INFO - Epoch [137][900/3746] lr: 2.062e-03, eta: 8:59:25, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5609, top5_acc: 0.7886, loss_cls: 2.9966, loss: 2.9966 +2024-01-03 06:56:43,803 - pyskl - INFO - Epoch [137][1000/3746] lr: 2.054e-03, eta: 8:58:21, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5564, top5_acc: 0.7961, loss_cls: 2.9979, loss: 2.9979 +2024-01-03 06:57:42,754 - pyskl - INFO - Epoch [137][1100/3746] lr: 2.046e-03, eta: 8:57:17, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5595, top5_acc: 0.7963, loss_cls: 2.9953, loss: 2.9953 +2024-01-03 06:58:41,817 - pyskl - INFO - Epoch [137][1200/3746] lr: 2.038e-03, eta: 8:56:14, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5584, top5_acc: 0.8019, loss_cls: 2.9796, loss: 2.9796 +2024-01-03 06:59:41,030 - pyskl - INFO - Epoch [137][1300/3746] lr: 2.030e-03, eta: 8:55:10, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5556, top5_acc: 0.7934, loss_cls: 2.9966, loss: 2.9966 +2024-01-03 07:00:39,875 - pyskl - INFO - Epoch [137][1400/3746] lr: 2.022e-03, eta: 8:54:06, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5481, top5_acc: 0.7880, loss_cls: 3.0528, loss: 3.0528 +2024-01-03 07:01:38,955 - pyskl - INFO - Epoch [137][1500/3746] lr: 2.015e-03, eta: 8:53:03, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5514, top5_acc: 0.7970, loss_cls: 2.9862, loss: 2.9862 +2024-01-03 07:02:37,887 - pyskl - INFO - Epoch [137][1600/3746] lr: 2.007e-03, eta: 8:51:59, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5645, top5_acc: 0.7986, loss_cls: 2.9771, loss: 2.9771 +2024-01-03 07:03:36,953 - pyskl - INFO - Epoch [137][1700/3746] lr: 1.999e-03, eta: 8:50:55, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5613, top5_acc: 0.7987, loss_cls: 2.9936, loss: 2.9936 +2024-01-03 07:04:36,164 - pyskl - INFO - Epoch [137][1800/3746] lr: 1.991e-03, eta: 8:49:52, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5619, top5_acc: 0.7895, loss_cls: 3.0214, loss: 3.0214 +2024-01-03 07:05:35,340 - pyskl - INFO - Epoch [137][1900/3746] lr: 1.983e-03, eta: 8:48:48, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5461, top5_acc: 0.7864, loss_cls: 3.0455, loss: 3.0455 +2024-01-03 07:06:34,469 - pyskl - INFO - Epoch [137][2000/3746] lr: 1.976e-03, eta: 8:47:45, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5569, top5_acc: 0.7980, loss_cls: 2.9918, loss: 2.9918 +2024-01-03 07:07:33,405 - pyskl - INFO - Epoch [137][2100/3746] lr: 1.968e-03, eta: 8:46:41, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5547, top5_acc: 0.7919, loss_cls: 3.0081, loss: 3.0081 +2024-01-03 07:08:32,471 - pyskl - INFO - Epoch [137][2200/3746] lr: 1.960e-03, eta: 8:45:37, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5495, top5_acc: 0.7869, loss_cls: 3.0371, loss: 3.0371 +2024-01-03 07:09:32,253 - pyskl - INFO - Epoch [137][2300/3746] lr: 1.952e-03, eta: 8:44:34, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5439, top5_acc: 0.7892, loss_cls: 3.0357, loss: 3.0357 +2024-01-03 07:10:31,660 - pyskl - INFO - Epoch [137][2400/3746] lr: 1.944e-03, eta: 8:43:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5475, top5_acc: 0.7892, loss_cls: 3.0279, loss: 3.0279 +2024-01-03 07:11:31,039 - pyskl - INFO - Epoch [137][2500/3746] lr: 1.937e-03, eta: 8:42:27, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5522, top5_acc: 0.7944, loss_cls: 3.0173, loss: 3.0173 +2024-01-03 07:12:30,173 - pyskl - INFO - Epoch [137][2600/3746] lr: 1.929e-03, eta: 8:41:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5541, top5_acc: 0.7845, loss_cls: 3.0498, loss: 3.0498 +2024-01-03 07:13:29,785 - pyskl - INFO - Epoch [137][2700/3746] lr: 1.921e-03, eta: 8:40:20, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5530, top5_acc: 0.7859, loss_cls: 3.0377, loss: 3.0377 +2024-01-03 07:14:29,623 - pyskl - INFO - Epoch [137][2800/3746] lr: 1.914e-03, eta: 8:39:16, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5420, top5_acc: 0.7772, loss_cls: 3.0874, loss: 3.0874 +2024-01-03 07:15:28,939 - pyskl - INFO - Epoch [137][2900/3746] lr: 1.906e-03, eta: 8:38:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5555, top5_acc: 0.7898, loss_cls: 3.0435, loss: 3.0435 +2024-01-03 07:16:27,946 - pyskl - INFO - Epoch [137][3000/3746] lr: 1.898e-03, eta: 8:37:09, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5483, top5_acc: 0.7842, loss_cls: 3.0412, loss: 3.0412 +2024-01-03 07:17:26,974 - pyskl - INFO - Epoch [137][3100/3746] lr: 1.891e-03, eta: 8:36:06, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5481, top5_acc: 0.7844, loss_cls: 3.0473, loss: 3.0473 +2024-01-03 07:18:25,867 - pyskl - INFO - Epoch [137][3200/3746] lr: 1.883e-03, eta: 8:35:02, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5430, top5_acc: 0.7923, loss_cls: 3.0536, loss: 3.0536 +2024-01-03 07:19:25,099 - pyskl - INFO - Epoch [137][3300/3746] lr: 1.876e-03, eta: 8:33:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5387, top5_acc: 0.7861, loss_cls: 3.0508, loss: 3.0508 +2024-01-03 07:20:24,078 - pyskl - INFO - Epoch [137][3400/3746] lr: 1.868e-03, eta: 8:32:55, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5531, top5_acc: 0.7941, loss_cls: 3.0252, loss: 3.0252 +2024-01-03 07:21:23,741 - pyskl - INFO - Epoch [137][3500/3746] lr: 1.860e-03, eta: 8:31:52, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5431, top5_acc: 0.7858, loss_cls: 3.0796, loss: 3.0796 +2024-01-03 07:22:23,108 - pyskl - INFO - Epoch [137][3600/3746] lr: 1.853e-03, eta: 8:30:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5591, top5_acc: 0.8020, loss_cls: 2.9714, loss: 2.9714 +2024-01-03 07:23:22,620 - pyskl - INFO - Epoch [137][3700/3746] lr: 1.845e-03, eta: 8:29:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5405, top5_acc: 0.7870, loss_cls: 3.0472, loss: 3.0472 +2024-01-03 07:23:52,217 - pyskl - INFO - Saving checkpoint at 137 epochs +2024-01-03 07:25:45,201 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 07:25:46,015 - pyskl - INFO - +top1_acc 0.4268 +top5_acc 0.6782 +2024-01-03 07:25:46,015 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 07:25:46,049 - pyskl - INFO - +mean_acc 0.4265 +2024-01-03 07:25:46,054 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_135.pth was removed +2024-01-03 07:25:46,315 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_137.pth. +2024-01-03 07:25:46,315 - pyskl - INFO - Best top1_acc is 0.4268 at 137 epoch. +2024-01-03 07:25:46,329 - pyskl - INFO - Epoch(val) [137][309] top1_acc: 0.4268, top5_acc: 0.6782, mean_class_accuracy: 0.4265 +2024-01-03 07:29:11,430 - pyskl - INFO - Epoch [138][100/3746] lr: 1.834e-03, eta: 8:28:38, time: 2.051, data_time: 1.456, memory: 16177, top1_acc: 0.5700, top5_acc: 0.8128, loss_cls: 2.9161, loss: 2.9161 +2024-01-03 07:30:10,457 - pyskl - INFO - Epoch [138][200/3746] lr: 1.827e-03, eta: 8:27:34, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5698, top5_acc: 0.8103, loss_cls: 2.9184, loss: 2.9184 +2024-01-03 07:31:09,796 - pyskl - INFO - Epoch [138][300/3746] lr: 1.819e-03, eta: 8:26:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5728, top5_acc: 0.8100, loss_cls: 2.9305, loss: 2.9305 +2024-01-03 07:32:09,038 - pyskl - INFO - Epoch [138][400/3746] lr: 1.812e-03, eta: 8:25:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5713, top5_acc: 0.8087, loss_cls: 2.9217, loss: 2.9217 +2024-01-03 07:33:08,163 - pyskl - INFO - Epoch [138][500/3746] lr: 1.805e-03, eta: 8:24:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5706, top5_acc: 0.8044, loss_cls: 2.9277, loss: 2.9277 +2024-01-03 07:34:07,221 - pyskl - INFO - Epoch [138][600/3746] lr: 1.797e-03, eta: 8:23:20, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5687, top5_acc: 0.8045, loss_cls: 2.9444, loss: 2.9444 +2024-01-03 07:35:06,239 - pyskl - INFO - Epoch [138][700/3746] lr: 1.790e-03, eta: 8:22:16, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5758, top5_acc: 0.8092, loss_cls: 2.9198, loss: 2.9198 +2024-01-03 07:36:05,145 - pyskl - INFO - Epoch [138][800/3746] lr: 1.782e-03, eta: 8:21:13, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5673, top5_acc: 0.8039, loss_cls: 2.9418, loss: 2.9418 +2024-01-03 07:37:03,974 - pyskl - INFO - Epoch [138][900/3746] lr: 1.775e-03, eta: 8:20:09, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5627, top5_acc: 0.7983, loss_cls: 2.9695, loss: 2.9695 +2024-01-03 07:38:03,246 - pyskl - INFO - Epoch [138][1000/3746] lr: 1.768e-03, eta: 8:19:05, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5698, top5_acc: 0.7997, loss_cls: 2.9636, loss: 2.9636 +2024-01-03 07:39:02,122 - pyskl - INFO - Epoch [138][1100/3746] lr: 1.760e-03, eta: 8:18:02, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5667, top5_acc: 0.7953, loss_cls: 2.9533, loss: 2.9533 +2024-01-03 07:40:00,889 - pyskl - INFO - Epoch [138][1200/3746] lr: 1.753e-03, eta: 8:16:58, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5680, top5_acc: 0.8128, loss_cls: 2.9151, loss: 2.9151 +2024-01-03 07:41:00,131 - pyskl - INFO - Epoch [138][1300/3746] lr: 1.745e-03, eta: 8:15:55, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5681, top5_acc: 0.8027, loss_cls: 2.9477, loss: 2.9477 +2024-01-03 07:41:59,360 - pyskl - INFO - Epoch [138][1400/3746] lr: 1.738e-03, eta: 8:14:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5770, top5_acc: 0.8109, loss_cls: 2.9272, loss: 2.9272 +2024-01-03 07:42:58,577 - pyskl - INFO - Epoch [138][1500/3746] lr: 1.731e-03, eta: 8:13:48, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5584, top5_acc: 0.7928, loss_cls: 3.0131, loss: 3.0131 +2024-01-03 07:43:57,628 - pyskl - INFO - Epoch [138][1600/3746] lr: 1.724e-03, eta: 8:12:44, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5537, top5_acc: 0.7913, loss_cls: 3.0084, loss: 3.0084 +2024-01-03 07:44:56,839 - pyskl - INFO - Epoch [138][1700/3746] lr: 1.716e-03, eta: 8:11:41, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5594, top5_acc: 0.8009, loss_cls: 2.9727, loss: 2.9727 +2024-01-03 07:45:55,606 - pyskl - INFO - Epoch [138][1800/3746] lr: 1.709e-03, eta: 8:10:37, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5702, top5_acc: 0.7994, loss_cls: 2.9595, loss: 2.9595 +2024-01-03 07:46:54,809 - pyskl - INFO - Epoch [138][1900/3746] lr: 1.702e-03, eta: 8:09:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5577, top5_acc: 0.7930, loss_cls: 2.9956, loss: 2.9956 +2024-01-03 07:47:53,926 - pyskl - INFO - Epoch [138][2000/3746] lr: 1.695e-03, eta: 8:08:30, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5716, top5_acc: 0.8084, loss_cls: 2.9278, loss: 2.9278 +2024-01-03 07:48:53,438 - pyskl - INFO - Epoch [138][2100/3746] lr: 1.687e-03, eta: 8:07:26, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5691, top5_acc: 0.8028, loss_cls: 2.9475, loss: 2.9475 +2024-01-03 07:49:52,421 - pyskl - INFO - Epoch [138][2200/3746] lr: 1.680e-03, eta: 8:06:23, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5637, top5_acc: 0.8019, loss_cls: 2.9686, loss: 2.9686 +2024-01-03 07:50:52,560 - pyskl - INFO - Epoch [138][2300/3746] lr: 1.673e-03, eta: 8:05:20, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5584, top5_acc: 0.7889, loss_cls: 3.0187, loss: 3.0187 +2024-01-03 07:51:52,845 - pyskl - INFO - Epoch [138][2400/3746] lr: 1.666e-03, eta: 8:04:16, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.5616, top5_acc: 0.8045, loss_cls: 2.9725, loss: 2.9725 +2024-01-03 07:52:51,966 - pyskl - INFO - Epoch [138][2500/3746] lr: 1.659e-03, eta: 8:03:13, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5683, top5_acc: 0.8047, loss_cls: 2.9382, loss: 2.9382 +2024-01-03 07:53:51,155 - pyskl - INFO - Epoch [138][2600/3746] lr: 1.652e-03, eta: 8:02:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5581, top5_acc: 0.7953, loss_cls: 2.9977, loss: 2.9977 +2024-01-03 07:54:51,010 - pyskl - INFO - Epoch [138][2700/3746] lr: 1.644e-03, eta: 8:01:06, time: 0.599, data_time: 0.001, memory: 16177, top1_acc: 0.5492, top5_acc: 0.7841, loss_cls: 3.0581, loss: 3.0581 +2024-01-03 07:55:50,403 - pyskl - INFO - Epoch [138][2800/3746] lr: 1.637e-03, eta: 8:00:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5475, top5_acc: 0.7933, loss_cls: 3.0328, loss: 3.0328 +2024-01-03 07:56:49,397 - pyskl - INFO - Epoch [138][2900/3746] lr: 1.630e-03, eta: 7:58:59, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5484, top5_acc: 0.7966, loss_cls: 3.0250, loss: 3.0250 +2024-01-03 07:57:49,210 - pyskl - INFO - Epoch [138][3000/3746] lr: 1.623e-03, eta: 7:57:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5450, top5_acc: 0.7952, loss_cls: 3.0195, loss: 3.0195 +2024-01-03 07:58:48,277 - pyskl - INFO - Epoch [138][3100/3746] lr: 1.616e-03, eta: 7:56:52, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5570, top5_acc: 0.7936, loss_cls: 3.0056, loss: 3.0056 +2024-01-03 07:59:47,493 - pyskl - INFO - Epoch [138][3200/3746] lr: 1.609e-03, eta: 7:55:49, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5613, top5_acc: 0.7973, loss_cls: 2.9703, loss: 2.9703 +2024-01-03 08:00:46,428 - pyskl - INFO - Epoch [138][3300/3746] lr: 1.602e-03, eta: 7:54:45, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5634, top5_acc: 0.7948, loss_cls: 2.9948, loss: 2.9948 +2024-01-03 08:01:45,532 - pyskl - INFO - Epoch [138][3400/3746] lr: 1.595e-03, eta: 7:53:42, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5589, top5_acc: 0.7931, loss_cls: 2.9863, loss: 2.9863 +2024-01-03 08:02:45,415 - pyskl - INFO - Epoch [138][3500/3746] lr: 1.588e-03, eta: 7:52:38, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5609, top5_acc: 0.7966, loss_cls: 3.0087, loss: 3.0087 +2024-01-03 08:03:45,332 - pyskl - INFO - Epoch [138][3600/3746] lr: 1.581e-03, eta: 7:51:35, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5648, top5_acc: 0.7942, loss_cls: 3.0013, loss: 3.0013 +2024-01-03 08:04:44,989 - pyskl - INFO - Epoch [138][3700/3746] lr: 1.574e-03, eta: 7:50:32, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5617, top5_acc: 0.7956, loss_cls: 2.9937, loss: 2.9937 +2024-01-03 08:05:15,138 - pyskl - INFO - Saving checkpoint at 138 epochs +2024-01-03 08:07:09,447 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 08:07:10,241 - pyskl - INFO - +top1_acc 0.4321 +top5_acc 0.6822 +2024-01-03 08:07:10,241 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 08:07:10,277 - pyskl - INFO - +mean_acc 0.4317 +2024-01-03 08:07:10,282 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_137.pth was removed +2024-01-03 08:07:10,546 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_138.pth. +2024-01-03 08:07:10,546 - pyskl - INFO - Best top1_acc is 0.4321 at 138 epoch. +2024-01-03 08:07:10,556 - pyskl - INFO - Epoch(val) [138][309] top1_acc: 0.4321, top5_acc: 0.6822, mean_class_accuracy: 0.4317 +2024-01-03 08:10:34,405 - pyskl - INFO - Epoch [139][100/3746] lr: 1.564e-03, eta: 7:49:22, time: 2.038, data_time: 1.438, memory: 16177, top1_acc: 0.5834, top5_acc: 0.8181, loss_cls: 2.8697, loss: 2.8697 +2024-01-03 08:11:33,697 - pyskl - INFO - Epoch [139][200/3746] lr: 1.557e-03, eta: 7:48:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5850, top5_acc: 0.8106, loss_cls: 2.8828, loss: 2.8828 +2024-01-03 08:12:33,053 - pyskl - INFO - Epoch [139][300/3746] lr: 1.550e-03, eta: 7:47:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5831, top5_acc: 0.8116, loss_cls: 2.9101, loss: 2.9101 +2024-01-03 08:13:32,109 - pyskl - INFO - Epoch [139][400/3746] lr: 1.543e-03, eta: 7:46:12, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5842, top5_acc: 0.8189, loss_cls: 2.8829, loss: 2.8829 +2024-01-03 08:14:30,889 - pyskl - INFO - Epoch [139][500/3746] lr: 1.536e-03, eta: 7:45:08, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5767, top5_acc: 0.8152, loss_cls: 2.8873, loss: 2.8873 +2024-01-03 08:15:29,801 - pyskl - INFO - Epoch [139][600/3746] lr: 1.529e-03, eta: 7:44:05, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5837, top5_acc: 0.8223, loss_cls: 2.8520, loss: 2.8520 +2024-01-03 08:16:28,632 - pyskl - INFO - Epoch [139][700/3746] lr: 1.523e-03, eta: 7:43:01, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5842, top5_acc: 0.8166, loss_cls: 2.8940, loss: 2.8940 +2024-01-03 08:17:27,372 - pyskl - INFO - Epoch [139][800/3746] lr: 1.516e-03, eta: 7:41:58, time: 0.587, data_time: 0.000, memory: 16177, top1_acc: 0.5783, top5_acc: 0.8156, loss_cls: 2.9058, loss: 2.9058 +2024-01-03 08:18:26,489 - pyskl - INFO - Epoch [139][900/3746] lr: 1.509e-03, eta: 7:40:54, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5873, top5_acc: 0.8127, loss_cls: 2.8773, loss: 2.8773 +2024-01-03 08:19:25,732 - pyskl - INFO - Epoch [139][1000/3746] lr: 1.502e-03, eta: 7:39:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5823, top5_acc: 0.8070, loss_cls: 2.9008, loss: 2.9008 +2024-01-03 08:20:24,606 - pyskl - INFO - Epoch [139][1100/3746] lr: 1.495e-03, eta: 7:38:47, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5753, top5_acc: 0.8073, loss_cls: 2.9141, loss: 2.9141 +2024-01-03 08:21:23,652 - pyskl - INFO - Epoch [139][1200/3746] lr: 1.489e-03, eta: 7:37:44, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5766, top5_acc: 0.8084, loss_cls: 2.9124, loss: 2.9124 +2024-01-03 08:22:22,807 - pyskl - INFO - Epoch [139][1300/3746] lr: 1.482e-03, eta: 7:36:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5769, top5_acc: 0.8073, loss_cls: 2.8997, loss: 2.8997 +2024-01-03 08:23:21,636 - pyskl - INFO - Epoch [139][1400/3746] lr: 1.475e-03, eta: 7:35:37, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5780, top5_acc: 0.8042, loss_cls: 2.9467, loss: 2.9467 +2024-01-03 08:24:20,876 - pyskl - INFO - Epoch [139][1500/3746] lr: 1.468e-03, eta: 7:34:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5795, top5_acc: 0.8083, loss_cls: 2.9175, loss: 2.9175 +2024-01-03 08:25:19,757 - pyskl - INFO - Epoch [139][1600/3746] lr: 1.462e-03, eta: 7:33:30, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5695, top5_acc: 0.8058, loss_cls: 2.9273, loss: 2.9273 +2024-01-03 08:26:19,093 - pyskl - INFO - Epoch [139][1700/3746] lr: 1.455e-03, eta: 7:32:26, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5723, top5_acc: 0.8073, loss_cls: 2.9318, loss: 2.9318 +2024-01-03 08:27:18,006 - pyskl - INFO - Epoch [139][1800/3746] lr: 1.448e-03, eta: 7:31:23, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5767, top5_acc: 0.8050, loss_cls: 2.9184, loss: 2.9184 +2024-01-03 08:28:17,161 - pyskl - INFO - Epoch [139][1900/3746] lr: 1.442e-03, eta: 7:30:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5647, top5_acc: 0.8019, loss_cls: 2.9566, loss: 2.9566 +2024-01-03 08:29:16,064 - pyskl - INFO - Epoch [139][2000/3746] lr: 1.435e-03, eta: 7:29:16, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5663, top5_acc: 0.8005, loss_cls: 2.9679, loss: 2.9679 +2024-01-03 08:30:15,059 - pyskl - INFO - Epoch [139][2100/3746] lr: 1.428e-03, eta: 7:28:12, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5772, top5_acc: 0.8073, loss_cls: 2.9425, loss: 2.9425 +2024-01-03 08:31:13,976 - pyskl - INFO - Epoch [139][2200/3746] lr: 1.422e-03, eta: 7:27:09, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5645, top5_acc: 0.8052, loss_cls: 2.9614, loss: 2.9614 +2024-01-03 08:32:13,143 - pyskl - INFO - Epoch [139][2300/3746] lr: 1.415e-03, eta: 7:26:06, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5741, top5_acc: 0.8050, loss_cls: 2.9344, loss: 2.9344 +2024-01-03 08:33:13,255 - pyskl - INFO - Epoch [139][2400/3746] lr: 1.408e-03, eta: 7:25:02, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5648, top5_acc: 0.8041, loss_cls: 2.9624, loss: 2.9624 +2024-01-03 08:34:12,493 - pyskl - INFO - Epoch [139][2500/3746] lr: 1.402e-03, eta: 7:23:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5695, top5_acc: 0.8039, loss_cls: 2.9409, loss: 2.9409 +2024-01-03 08:35:11,697 - pyskl - INFO - Epoch [139][2600/3746] lr: 1.395e-03, eta: 7:22:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5717, top5_acc: 0.8156, loss_cls: 2.9139, loss: 2.9139 +2024-01-03 08:36:11,566 - pyskl - INFO - Epoch [139][2700/3746] lr: 1.389e-03, eta: 7:21:52, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5689, top5_acc: 0.8078, loss_cls: 2.9315, loss: 2.9315 +2024-01-03 08:37:10,706 - pyskl - INFO - Epoch [139][2800/3746] lr: 1.382e-03, eta: 7:20:49, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5655, top5_acc: 0.7983, loss_cls: 2.9601, loss: 2.9601 +2024-01-03 08:38:09,649 - pyskl - INFO - Epoch [139][2900/3746] lr: 1.376e-03, eta: 7:19:45, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5691, top5_acc: 0.8098, loss_cls: 2.9329, loss: 2.9329 +2024-01-03 08:39:09,090 - pyskl - INFO - Epoch [139][3000/3746] lr: 1.369e-03, eta: 7:18:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5845, top5_acc: 0.8137, loss_cls: 2.8761, loss: 2.8761 +2024-01-03 08:40:08,152 - pyskl - INFO - Epoch [139][3100/3746] lr: 1.363e-03, eta: 7:17:39, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5689, top5_acc: 0.8072, loss_cls: 2.9386, loss: 2.9386 +2024-01-03 08:41:07,286 - pyskl - INFO - Epoch [139][3200/3746] lr: 1.356e-03, eta: 7:16:35, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5730, top5_acc: 0.8056, loss_cls: 2.9358, loss: 2.9358 +2024-01-03 08:42:06,561 - pyskl - INFO - Epoch [139][3300/3746] lr: 1.350e-03, eta: 7:15:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5613, top5_acc: 0.7963, loss_cls: 2.9896, loss: 2.9896 +2024-01-03 08:43:05,789 - pyskl - INFO - Epoch [139][3400/3746] lr: 1.343e-03, eta: 7:14:29, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5608, top5_acc: 0.7978, loss_cls: 2.9745, loss: 2.9745 +2024-01-03 08:44:05,205 - pyskl - INFO - Epoch [139][3500/3746] lr: 1.337e-03, eta: 7:13:25, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5648, top5_acc: 0.7986, loss_cls: 2.9733, loss: 2.9733 +2024-01-03 08:45:04,964 - pyskl - INFO - Epoch [139][3600/3746] lr: 1.330e-03, eta: 7:12:22, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5648, top5_acc: 0.8077, loss_cls: 2.9558, loss: 2.9558 +2024-01-03 08:46:04,750 - pyskl - INFO - Epoch [139][3700/3746] lr: 1.324e-03, eta: 7:11:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5703, top5_acc: 0.8013, loss_cls: 2.9437, loss: 2.9437 +2024-01-03 08:46:34,797 - pyskl - INFO - Saving checkpoint at 139 epochs +2024-01-03 08:48:28,792 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 08:48:29,674 - pyskl - INFO - +top1_acc 0.4322 +top5_acc 0.6844 +2024-01-03 08:48:29,674 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 08:48:29,707 - pyskl - INFO - +mean_acc 0.4319 +2024-01-03 08:48:29,713 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_138.pth was removed +2024-01-03 08:48:29,986 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_139.pth. +2024-01-03 08:48:29,987 - pyskl - INFO - Best top1_acc is 0.4322 at 139 epoch. +2024-01-03 08:48:29,997 - pyskl - INFO - Epoch(val) [139][309] top1_acc: 0.4322, top5_acc: 0.6844, mean_class_accuracy: 0.4319 +2024-01-03 08:51:52,879 - pyskl - INFO - Epoch [140][100/3746] lr: 1.315e-03, eta: 7:10:07, time: 2.029, data_time: 1.430, memory: 16177, top1_acc: 0.5900, top5_acc: 0.8261, loss_cls: 2.8410, loss: 2.8410 +2024-01-03 08:52:52,244 - pyskl - INFO - Epoch [140][200/3746] lr: 1.308e-03, eta: 7:09:03, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5972, top5_acc: 0.8219, loss_cls: 2.8262, loss: 2.8262 +2024-01-03 08:53:51,590 - pyskl - INFO - Epoch [140][300/3746] lr: 1.302e-03, eta: 7:08:00, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5908, top5_acc: 0.8237, loss_cls: 2.8384, loss: 2.8384 +2024-01-03 08:54:50,916 - pyskl - INFO - Epoch [140][400/3746] lr: 1.296e-03, eta: 7:06:57, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5902, top5_acc: 0.8175, loss_cls: 2.8584, loss: 2.8584 +2024-01-03 08:55:50,181 - pyskl - INFO - Epoch [140][500/3746] lr: 1.289e-03, eta: 7:05:53, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5900, top5_acc: 0.8245, loss_cls: 2.8454, loss: 2.8454 +2024-01-03 08:56:49,865 - pyskl - INFO - Epoch [140][600/3746] lr: 1.283e-03, eta: 7:04:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5908, top5_acc: 0.8136, loss_cls: 2.8667, loss: 2.8667 +2024-01-03 08:57:49,288 - pyskl - INFO - Epoch [140][700/3746] lr: 1.277e-03, eta: 7:03:47, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5786, top5_acc: 0.8184, loss_cls: 2.8827, loss: 2.8827 +2024-01-03 08:58:48,497 - pyskl - INFO - Epoch [140][800/3746] lr: 1.271e-03, eta: 7:02:43, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5828, top5_acc: 0.8227, loss_cls: 2.8550, loss: 2.8550 +2024-01-03 08:59:47,827 - pyskl - INFO - Epoch [140][900/3746] lr: 1.264e-03, eta: 7:01:40, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5859, top5_acc: 0.8184, loss_cls: 2.8644, loss: 2.8644 +2024-01-03 09:00:47,441 - pyskl - INFO - Epoch [140][1000/3746] lr: 1.258e-03, eta: 7:00:36, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5837, top5_acc: 0.8159, loss_cls: 2.8708, loss: 2.8708 +2024-01-03 09:01:46,649 - pyskl - INFO - Epoch [140][1100/3746] lr: 1.252e-03, eta: 6:59:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5817, top5_acc: 0.8158, loss_cls: 2.8791, loss: 2.8791 +2024-01-03 09:02:45,962 - pyskl - INFO - Epoch [140][1200/3746] lr: 1.246e-03, eta: 6:58:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5886, top5_acc: 0.8147, loss_cls: 2.8715, loss: 2.8715 +2024-01-03 09:03:45,029 - pyskl - INFO - Epoch [140][1300/3746] lr: 1.239e-03, eta: 6:57:26, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5841, top5_acc: 0.8142, loss_cls: 2.8773, loss: 2.8773 +2024-01-03 09:04:44,082 - pyskl - INFO - Epoch [140][1400/3746] lr: 1.233e-03, eta: 6:56:23, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5962, top5_acc: 0.8156, loss_cls: 2.8411, loss: 2.8411 +2024-01-03 09:05:43,094 - pyskl - INFO - Epoch [140][1500/3746] lr: 1.227e-03, eta: 6:55:20, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5827, top5_acc: 0.8169, loss_cls: 2.8900, loss: 2.8900 +2024-01-03 09:06:42,182 - pyskl - INFO - Epoch [140][1600/3746] lr: 1.221e-03, eta: 6:54:16, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5794, top5_acc: 0.8119, loss_cls: 2.8898, loss: 2.8898 +2024-01-03 09:07:41,399 - pyskl - INFO - Epoch [140][1700/3746] lr: 1.215e-03, eta: 6:53:13, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5773, top5_acc: 0.8080, loss_cls: 2.9060, loss: 2.9060 +2024-01-03 09:08:40,352 - pyskl - INFO - Epoch [140][1800/3746] lr: 1.209e-03, eta: 6:52:09, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5703, top5_acc: 0.8130, loss_cls: 2.9153, loss: 2.9153 +2024-01-03 09:09:39,585 - pyskl - INFO - Epoch [140][1900/3746] lr: 1.203e-03, eta: 6:51:06, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5858, top5_acc: 0.8106, loss_cls: 2.8984, loss: 2.8984 +2024-01-03 09:10:38,700 - pyskl - INFO - Epoch [140][2000/3746] lr: 1.196e-03, eta: 6:50:03, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5783, top5_acc: 0.8148, loss_cls: 2.8844, loss: 2.8844 +2024-01-03 09:11:37,910 - pyskl - INFO - Epoch [140][2100/3746] lr: 1.190e-03, eta: 6:48:59, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5916, top5_acc: 0.8167, loss_cls: 2.8538, loss: 2.8538 +2024-01-03 09:12:36,937 - pyskl - INFO - Epoch [140][2200/3746] lr: 1.184e-03, eta: 6:47:56, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5852, top5_acc: 0.8120, loss_cls: 2.8760, loss: 2.8760 +2024-01-03 09:13:35,814 - pyskl - INFO - Epoch [140][2300/3746] lr: 1.178e-03, eta: 6:46:53, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.5697, top5_acc: 0.8067, loss_cls: 2.9182, loss: 2.9182 +2024-01-03 09:14:35,897 - pyskl - INFO - Epoch [140][2400/3746] lr: 1.172e-03, eta: 6:45:49, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5791, top5_acc: 0.8114, loss_cls: 2.9179, loss: 2.9179 +2024-01-03 09:15:35,984 - pyskl - INFO - Epoch [140][2500/3746] lr: 1.166e-03, eta: 6:44:46, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5820, top5_acc: 0.8150, loss_cls: 2.8817, loss: 2.8817 +2024-01-03 09:16:35,782 - pyskl - INFO - Epoch [140][2600/3746] lr: 1.160e-03, eta: 6:43:43, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5903, top5_acc: 0.8244, loss_cls: 2.8381, loss: 2.8381 +2024-01-03 09:17:35,841 - pyskl - INFO - Epoch [140][2700/3746] lr: 1.154e-03, eta: 6:42:40, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.5666, top5_acc: 0.8091, loss_cls: 2.9128, loss: 2.9128 +2024-01-03 09:18:35,838 - pyskl - INFO - Epoch [140][2800/3746] lr: 1.148e-03, eta: 6:41:37, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5878, top5_acc: 0.8198, loss_cls: 2.8531, loss: 2.8531 +2024-01-03 09:19:34,980 - pyskl - INFO - Epoch [140][2900/3746] lr: 1.142e-03, eta: 6:40:33, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5877, top5_acc: 0.8222, loss_cls: 2.8692, loss: 2.8692 +2024-01-03 09:20:34,966 - pyskl - INFO - Epoch [140][3000/3746] lr: 1.136e-03, eta: 6:39:30, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5800, top5_acc: 0.8123, loss_cls: 2.9017, loss: 2.9017 +2024-01-03 09:21:34,303 - pyskl - INFO - Epoch [140][3100/3746] lr: 1.131e-03, eta: 6:38:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5795, top5_acc: 0.8161, loss_cls: 2.8893, loss: 2.8893 +2024-01-03 09:22:33,756 - pyskl - INFO - Epoch [140][3200/3746] lr: 1.125e-03, eta: 6:37:24, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5814, top5_acc: 0.8148, loss_cls: 2.8780, loss: 2.8780 +2024-01-03 09:23:32,606 - pyskl - INFO - Epoch [140][3300/3746] lr: 1.119e-03, eta: 6:36:20, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.5886, top5_acc: 0.8145, loss_cls: 2.8798, loss: 2.8798 +2024-01-03 09:24:32,161 - pyskl - INFO - Epoch [140][3400/3746] lr: 1.113e-03, eta: 6:35:17, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5833, top5_acc: 0.8194, loss_cls: 2.8781, loss: 2.8781 +2024-01-03 09:25:32,024 - pyskl - INFO - Epoch [140][3500/3746] lr: 1.107e-03, eta: 6:34:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.5917, top5_acc: 0.8192, loss_cls: 2.8833, loss: 2.8833 +2024-01-03 09:26:31,805 - pyskl - INFO - Epoch [140][3600/3746] lr: 1.101e-03, eta: 6:33:11, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.5806, top5_acc: 0.8100, loss_cls: 2.9075, loss: 2.9075 +2024-01-03 09:27:31,433 - pyskl - INFO - Epoch [140][3700/3746] lr: 1.095e-03, eta: 6:32:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5797, top5_acc: 0.8075, loss_cls: 2.8988, loss: 2.8988 +2024-01-03 09:28:01,730 - pyskl - INFO - Saving checkpoint at 140 epochs +2024-01-03 09:29:59,082 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 09:29:59,903 - pyskl - INFO - +top1_acc 0.4387 +top5_acc 0.6878 +2024-01-03 09:29:59,903 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 09:29:59,938 - pyskl - INFO - +mean_acc 0.4384 +2024-01-03 09:29:59,943 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_139.pth was removed +2024-01-03 09:30:00,200 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_140.pth. +2024-01-03 09:30:00,201 - pyskl - INFO - Best top1_acc is 0.4387 at 140 epoch. +2024-01-03 09:30:00,209 - pyskl - INFO - Epoch(val) [140][309] top1_acc: 0.4387, top5_acc: 0.6878, mean_class_accuracy: 0.4384 +2024-01-03 09:33:24,480 - pyskl - INFO - Epoch [141][100/3746] lr: 1.087e-03, eta: 6:30:54, time: 2.043, data_time: 1.434, memory: 16177, top1_acc: 0.6091, top5_acc: 0.8289, loss_cls: 2.7986, loss: 2.7986 +2024-01-03 09:34:24,435 - pyskl - INFO - Epoch [141][200/3746] lr: 1.081e-03, eta: 6:29:50, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5983, top5_acc: 0.8289, loss_cls: 2.8011, loss: 2.8011 +2024-01-03 09:35:24,154 - pyskl - INFO - Epoch [141][300/3746] lr: 1.075e-03, eta: 6:28:47, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.5962, top5_acc: 0.8239, loss_cls: 2.8030, loss: 2.8030 +2024-01-03 09:36:23,449 - pyskl - INFO - Epoch [141][400/3746] lr: 1.070e-03, eta: 6:27:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6145, top5_acc: 0.8261, loss_cls: 2.7902, loss: 2.7902 +2024-01-03 09:37:23,554 - pyskl - INFO - Epoch [141][500/3746] lr: 1.064e-03, eta: 6:26:41, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6145, top5_acc: 0.8334, loss_cls: 2.7679, loss: 2.7679 +2024-01-03 09:38:22,944 - pyskl - INFO - Epoch [141][600/3746] lr: 1.058e-03, eta: 6:25:37, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6023, top5_acc: 0.8277, loss_cls: 2.7857, loss: 2.7857 +2024-01-03 09:39:21,766 - pyskl - INFO - Epoch [141][700/3746] lr: 1.052e-03, eta: 6:24:34, time: 0.588, data_time: 0.000, memory: 16177, top1_acc: 0.6039, top5_acc: 0.8253, loss_cls: 2.7893, loss: 2.7893 +2024-01-03 09:40:20,801 - pyskl - INFO - Epoch [141][800/3746] lr: 1.047e-03, eta: 6:23:30, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6008, top5_acc: 0.8292, loss_cls: 2.8028, loss: 2.8028 +2024-01-03 09:41:20,043 - pyskl - INFO - Epoch [141][900/3746] lr: 1.041e-03, eta: 6:22:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5980, top5_acc: 0.8202, loss_cls: 2.8227, loss: 2.8227 +2024-01-03 09:42:19,132 - pyskl - INFO - Epoch [141][1000/3746] lr: 1.035e-03, eta: 6:21:24, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5952, top5_acc: 0.8191, loss_cls: 2.8410, loss: 2.8410 +2024-01-03 09:43:18,216 - pyskl - INFO - Epoch [141][1100/3746] lr: 1.030e-03, eta: 6:20:21, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5983, top5_acc: 0.8263, loss_cls: 2.8021, loss: 2.8021 +2024-01-03 09:44:17,523 - pyskl - INFO - Epoch [141][1200/3746] lr: 1.024e-03, eta: 6:19:17, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6027, top5_acc: 0.8292, loss_cls: 2.8008, loss: 2.8008 +2024-01-03 09:45:17,082 - pyskl - INFO - Epoch [141][1300/3746] lr: 1.018e-03, eta: 6:18:14, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5853, top5_acc: 0.8241, loss_cls: 2.8387, loss: 2.8387 +2024-01-03 09:46:16,392 - pyskl - INFO - Epoch [141][1400/3746] lr: 1.013e-03, eta: 6:17:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5927, top5_acc: 0.8181, loss_cls: 2.8316, loss: 2.8316 +2024-01-03 09:47:15,481 - pyskl - INFO - Epoch [141][1500/3746] lr: 1.007e-03, eta: 6:16:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5961, top5_acc: 0.8247, loss_cls: 2.8176, loss: 2.8176 +2024-01-03 09:48:14,791 - pyskl - INFO - Epoch [141][1600/3746] lr: 1.002e-03, eta: 6:15:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5883, top5_acc: 0.8228, loss_cls: 2.8278, loss: 2.8278 +2024-01-03 09:49:14,161 - pyskl - INFO - Epoch [141][1700/3746] lr: 9.961e-04, eta: 6:14:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5894, top5_acc: 0.8317, loss_cls: 2.8252, loss: 2.8252 +2024-01-03 09:50:13,393 - pyskl - INFO - Epoch [141][1800/3746] lr: 9.905e-04, eta: 6:12:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5955, top5_acc: 0.8153, loss_cls: 2.8617, loss: 2.8617 +2024-01-03 09:51:12,477 - pyskl - INFO - Epoch [141][1900/3746] lr: 9.850e-04, eta: 6:11:54, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6008, top5_acc: 0.8311, loss_cls: 2.7937, loss: 2.7937 +2024-01-03 09:52:11,758 - pyskl - INFO - Epoch [141][2000/3746] lr: 9.795e-04, eta: 6:10:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5923, top5_acc: 0.8180, loss_cls: 2.8299, loss: 2.8299 +2024-01-03 09:53:11,039 - pyskl - INFO - Epoch [141][2100/3746] lr: 9.740e-04, eta: 6:09:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5917, top5_acc: 0.8280, loss_cls: 2.8348, loss: 2.8348 +2024-01-03 09:54:10,395 - pyskl - INFO - Epoch [141][2200/3746] lr: 9.685e-04, eta: 6:08:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.5986, top5_acc: 0.8228, loss_cls: 2.8182, loss: 2.8182 +2024-01-03 09:55:09,397 - pyskl - INFO - Epoch [141][2300/3746] lr: 9.630e-04, eta: 6:07:41, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5844, top5_acc: 0.8187, loss_cls: 2.8633, loss: 2.8633 +2024-01-03 09:56:08,699 - pyskl - INFO - Epoch [141][2400/3746] lr: 9.576e-04, eta: 6:06:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6027, top5_acc: 0.8287, loss_cls: 2.8089, loss: 2.8089 +2024-01-03 09:57:08,913 - pyskl - INFO - Epoch [141][2500/3746] lr: 9.522e-04, eta: 6:05:35, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6075, top5_acc: 0.8200, loss_cls: 2.8271, loss: 2.8271 +2024-01-03 09:58:08,864 - pyskl - INFO - Epoch [141][2600/3746] lr: 9.467e-04, eta: 6:04:32, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.5863, top5_acc: 0.8156, loss_cls: 2.8675, loss: 2.8675 +2024-01-03 09:59:08,386 - pyskl - INFO - Epoch [141][2700/3746] lr: 9.413e-04, eta: 6:03:28, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6011, top5_acc: 0.8213, loss_cls: 2.8140, loss: 2.8140 +2024-01-03 10:00:07,956 - pyskl - INFO - Epoch [141][2800/3746] lr: 9.359e-04, eta: 6:02:25, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5909, top5_acc: 0.8242, loss_cls: 2.8291, loss: 2.8291 +2024-01-03 10:01:07,492 - pyskl - INFO - Epoch [141][2900/3746] lr: 9.306e-04, eta: 6:01:22, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5842, top5_acc: 0.8153, loss_cls: 2.8873, loss: 2.8873 +2024-01-03 10:02:06,795 - pyskl - INFO - Epoch [141][3000/3746] lr: 9.252e-04, eta: 6:00:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.5914, top5_acc: 0.8155, loss_cls: 2.8494, loss: 2.8494 +2024-01-03 10:03:06,286 - pyskl - INFO - Epoch [141][3100/3746] lr: 9.199e-04, eta: 5:59:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5934, top5_acc: 0.8173, loss_cls: 2.8777, loss: 2.8777 +2024-01-03 10:04:05,237 - pyskl - INFO - Epoch [141][3200/3746] lr: 9.145e-04, eta: 5:58:12, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5930, top5_acc: 0.8283, loss_cls: 2.8213, loss: 2.8213 +2024-01-03 10:05:04,769 - pyskl - INFO - Epoch [141][3300/3746] lr: 9.092e-04, eta: 5:57:09, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5905, top5_acc: 0.8236, loss_cls: 2.8517, loss: 2.8517 +2024-01-03 10:06:03,944 - pyskl - INFO - Epoch [141][3400/3746] lr: 9.039e-04, eta: 5:56:06, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5813, top5_acc: 0.8155, loss_cls: 2.8682, loss: 2.8682 +2024-01-03 10:07:03,586 - pyskl - INFO - Epoch [141][3500/3746] lr: 8.986e-04, eta: 5:55:03, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.5800, top5_acc: 0.8191, loss_cls: 2.8657, loss: 2.8657 +2024-01-03 10:08:04,058 - pyskl - INFO - Epoch [141][3600/3746] lr: 8.934e-04, eta: 5:54:00, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6122, top5_acc: 0.8255, loss_cls: 2.8058, loss: 2.8058 +2024-01-03 10:09:03,598 - pyskl - INFO - Epoch [141][3700/3746] lr: 8.881e-04, eta: 5:52:56, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.5933, top5_acc: 0.8202, loss_cls: 2.8396, loss: 2.8396 +2024-01-03 10:09:33,495 - pyskl - INFO - Saving checkpoint at 141 epochs +2024-01-03 10:11:28,269 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 10:11:29,321 - pyskl - INFO - +top1_acc 0.4388 +top5_acc 0.6894 +2024-01-03 10:11:29,321 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 10:11:29,359 - pyskl - INFO - +mean_acc 0.4385 +2024-01-03 10:11:29,366 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_140.pth was removed +2024-01-03 10:11:29,687 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_141.pth. +2024-01-03 10:11:29,687 - pyskl - INFO - Best top1_acc is 0.4388 at 141 epoch. +2024-01-03 10:11:29,697 - pyskl - INFO - Epoch(val) [141][309] top1_acc: 0.4388, top5_acc: 0.6894, mean_class_accuracy: 0.4385 +2024-01-03 10:14:57,327 - pyskl - INFO - Epoch [142][100/3746] lr: 8.805e-04, eta: 5:51:41, time: 2.076, data_time: 1.469, memory: 16177, top1_acc: 0.6286, top5_acc: 0.8444, loss_cls: 2.6990, loss: 2.6990 +2024-01-03 10:16:01,383 - pyskl - INFO - Epoch [142][200/3746] lr: 8.752e-04, eta: 5:50:39, time: 0.641, data_time: 0.001, memory: 16177, top1_acc: 0.6142, top5_acc: 0.8408, loss_cls: 2.7333, loss: 2.7333 +2024-01-03 10:17:00,714 - pyskl - INFO - Epoch [142][300/3746] lr: 8.700e-04, eta: 5:49:35, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6081, top5_acc: 0.8381, loss_cls: 2.7510, loss: 2.7510 +2024-01-03 10:18:00,657 - pyskl - INFO - Epoch [142][400/3746] lr: 8.649e-04, eta: 5:48:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6053, top5_acc: 0.8352, loss_cls: 2.7599, loss: 2.7599 +2024-01-03 10:19:00,084 - pyskl - INFO - Epoch [142][500/3746] lr: 8.597e-04, eta: 5:47:29, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6134, top5_acc: 0.8355, loss_cls: 2.7458, loss: 2.7458 +2024-01-03 10:19:59,480 - pyskl - INFO - Epoch [142][600/3746] lr: 8.545e-04, eta: 5:46:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6109, top5_acc: 0.8303, loss_cls: 2.7658, loss: 2.7658 +2024-01-03 10:20:58,693 - pyskl - INFO - Epoch [142][700/3746] lr: 8.494e-04, eta: 5:45:22, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6197, top5_acc: 0.8373, loss_cls: 2.7265, loss: 2.7265 +2024-01-03 10:21:58,134 - pyskl - INFO - Epoch [142][800/3746] lr: 8.443e-04, eta: 5:44:19, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6203, top5_acc: 0.8445, loss_cls: 2.7330, loss: 2.7330 +2024-01-03 10:22:57,366 - pyskl - INFO - Epoch [142][900/3746] lr: 8.392e-04, eta: 5:43:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6044, top5_acc: 0.8284, loss_cls: 2.7775, loss: 2.7775 +2024-01-03 10:23:56,735 - pyskl - INFO - Epoch [142][1000/3746] lr: 8.341e-04, eta: 5:42:13, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6009, top5_acc: 0.8291, loss_cls: 2.7905, loss: 2.7905 +2024-01-03 10:24:55,783 - pyskl - INFO - Epoch [142][1100/3746] lr: 8.290e-04, eta: 5:41:09, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5980, top5_acc: 0.8206, loss_cls: 2.8013, loss: 2.8013 +2024-01-03 10:25:54,931 - pyskl - INFO - Epoch [142][1200/3746] lr: 8.239e-04, eta: 5:40:06, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.5955, top5_acc: 0.8283, loss_cls: 2.8045, loss: 2.8045 +2024-01-03 10:26:54,083 - pyskl - INFO - Epoch [142][1300/3746] lr: 8.189e-04, eta: 5:39:03, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6139, top5_acc: 0.8402, loss_cls: 2.7443, loss: 2.7443 +2024-01-03 10:27:53,527 - pyskl - INFO - Epoch [142][1400/3746] lr: 8.139e-04, eta: 5:38:00, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6170, top5_acc: 0.8383, loss_cls: 2.7412, loss: 2.7412 +2024-01-03 10:28:52,692 - pyskl - INFO - Epoch [142][1500/3746] lr: 8.088e-04, eta: 5:36:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6016, top5_acc: 0.8305, loss_cls: 2.7887, loss: 2.7887 +2024-01-03 10:29:51,931 - pyskl - INFO - Epoch [142][1600/3746] lr: 8.038e-04, eta: 5:35:53, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6052, top5_acc: 0.8294, loss_cls: 2.7978, loss: 2.7978 +2024-01-03 10:30:51,036 - pyskl - INFO - Epoch [142][1700/3746] lr: 7.989e-04, eta: 5:34:50, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6091, top5_acc: 0.8323, loss_cls: 2.7653, loss: 2.7653 +2024-01-03 10:31:50,263 - pyskl - INFO - Epoch [142][1800/3746] lr: 7.939e-04, eta: 5:33:47, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6038, top5_acc: 0.8250, loss_cls: 2.8106, loss: 2.8106 +2024-01-03 10:32:49,291 - pyskl - INFO - Epoch [142][1900/3746] lr: 7.889e-04, eta: 5:32:44, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.5930, top5_acc: 0.8230, loss_cls: 2.8259, loss: 2.8259 +2024-01-03 10:33:48,540 - pyskl - INFO - Epoch [142][2000/3746] lr: 7.840e-04, eta: 5:31:40, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6050, top5_acc: 0.8283, loss_cls: 2.7804, loss: 2.7804 +2024-01-03 10:34:47,550 - pyskl - INFO - Epoch [142][2100/3746] lr: 7.791e-04, eta: 5:30:37, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6114, top5_acc: 0.8305, loss_cls: 2.7779, loss: 2.7779 +2024-01-03 10:35:48,053 - pyskl - INFO - Epoch [142][2200/3746] lr: 7.742e-04, eta: 5:29:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6038, top5_acc: 0.8313, loss_cls: 2.7940, loss: 2.7940 +2024-01-03 10:36:47,228 - pyskl - INFO - Epoch [142][2300/3746] lr: 7.693e-04, eta: 5:28:31, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6084, top5_acc: 0.8302, loss_cls: 2.7770, loss: 2.7770 +2024-01-03 10:37:46,445 - pyskl - INFO - Epoch [142][2400/3746] lr: 7.644e-04, eta: 5:27:28, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6062, top5_acc: 0.8252, loss_cls: 2.8110, loss: 2.8110 +2024-01-03 10:38:46,037 - pyskl - INFO - Epoch [142][2500/3746] lr: 7.595e-04, eta: 5:26:24, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6075, top5_acc: 0.8355, loss_cls: 2.7975, loss: 2.7975 +2024-01-03 10:39:46,365 - pyskl - INFO - Epoch [142][2600/3746] lr: 7.547e-04, eta: 5:25:21, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6077, top5_acc: 0.8291, loss_cls: 2.7904, loss: 2.7904 +2024-01-03 10:40:45,757 - pyskl - INFO - Epoch [142][2700/3746] lr: 7.499e-04, eta: 5:24:18, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6055, top5_acc: 0.8327, loss_cls: 2.7630, loss: 2.7630 +2024-01-03 10:41:45,113 - pyskl - INFO - Epoch [142][2800/3746] lr: 7.450e-04, eta: 5:23:15, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6009, top5_acc: 0.8272, loss_cls: 2.8029, loss: 2.8029 +2024-01-03 10:42:44,800 - pyskl - INFO - Epoch [142][2900/3746] lr: 7.402e-04, eta: 5:22:12, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6008, top5_acc: 0.8286, loss_cls: 2.8097, loss: 2.8097 +2024-01-03 10:43:43,997 - pyskl - INFO - Epoch [142][3000/3746] lr: 7.355e-04, eta: 5:21:09, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6025, top5_acc: 0.8309, loss_cls: 2.7842, loss: 2.7842 +2024-01-03 10:44:43,334 - pyskl - INFO - Epoch [142][3100/3746] lr: 7.307e-04, eta: 5:20:06, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6011, top5_acc: 0.8319, loss_cls: 2.8021, loss: 2.8021 +2024-01-03 10:45:42,463 - pyskl - INFO - Epoch [142][3200/3746] lr: 7.259e-04, eta: 5:19:02, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6178, top5_acc: 0.8378, loss_cls: 2.7424, loss: 2.7424 +2024-01-03 10:46:41,735 - pyskl - INFO - Epoch [142][3300/3746] lr: 7.212e-04, eta: 5:17:59, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6067, top5_acc: 0.8231, loss_cls: 2.7866, loss: 2.7866 +2024-01-03 10:47:40,934 - pyskl - INFO - Epoch [142][3400/3746] lr: 7.165e-04, eta: 5:16:56, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.5958, top5_acc: 0.8222, loss_cls: 2.8082, loss: 2.8082 +2024-01-03 10:48:40,605 - pyskl - INFO - Epoch [142][3500/3746] lr: 7.118e-04, eta: 5:15:53, time: 0.597, data_time: 0.001, memory: 16177, top1_acc: 0.6017, top5_acc: 0.8258, loss_cls: 2.8084, loss: 2.8084 +2024-01-03 10:49:40,065 - pyskl - INFO - Epoch [142][3600/3746] lr: 7.071e-04, eta: 5:14:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6053, top5_acc: 0.8370, loss_cls: 2.7789, loss: 2.7789 +2024-01-03 10:50:39,389 - pyskl - INFO - Epoch [142][3700/3746] lr: 7.024e-04, eta: 5:13:47, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6028, top5_acc: 0.8339, loss_cls: 2.7879, loss: 2.7879 +2024-01-03 10:51:09,297 - pyskl - INFO - Saving checkpoint at 142 epochs +2024-01-03 10:53:02,193 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 10:53:03,016 - pyskl - INFO - +top1_acc 0.4407 +top5_acc 0.6886 +2024-01-03 10:53:03,016 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 10:53:03,058 - pyskl - INFO - +mean_acc 0.4405 +2024-01-03 10:53:03,059 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_141.pth was removed +2024-01-03 10:53:03,326 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_142.pth. +2024-01-03 10:53:03,327 - pyskl - INFO - Best top1_acc is 0.4407 at 142 epoch. +2024-01-03 10:53:03,336 - pyskl - INFO - Epoch(val) [142][309] top1_acc: 0.4407, top5_acc: 0.6886, mean_class_accuracy: 0.4405 +2024-01-03 10:56:28,954 - pyskl - INFO - Epoch [143][100/3746] lr: 6.956e-04, eta: 5:12:29, time: 2.056, data_time: 1.456, memory: 16177, top1_acc: 0.6312, top5_acc: 0.8455, loss_cls: 2.6918, loss: 2.6918 +2024-01-03 10:57:28,044 - pyskl - INFO - Epoch [143][200/3746] lr: 6.910e-04, eta: 5:11:26, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6177, top5_acc: 0.8391, loss_cls: 2.7179, loss: 2.7179 +2024-01-03 10:58:27,471 - pyskl - INFO - Epoch [143][300/3746] lr: 6.863e-04, eta: 5:10:23, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6219, top5_acc: 0.8408, loss_cls: 2.7278, loss: 2.7278 +2024-01-03 10:59:27,237 - pyskl - INFO - Epoch [143][400/3746] lr: 6.817e-04, eta: 5:09:20, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6147, top5_acc: 0.8313, loss_cls: 2.7574, loss: 2.7574 +2024-01-03 11:00:26,310 - pyskl - INFO - Epoch [143][500/3746] lr: 6.771e-04, eta: 5:08:16, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6261, top5_acc: 0.8456, loss_cls: 2.7040, loss: 2.7040 +2024-01-03 11:01:25,580 - pyskl - INFO - Epoch [143][600/3746] lr: 6.725e-04, eta: 5:07:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6128, top5_acc: 0.8384, loss_cls: 2.7304, loss: 2.7304 +2024-01-03 11:02:24,899 - pyskl - INFO - Epoch [143][700/3746] lr: 6.680e-04, eta: 5:06:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6228, top5_acc: 0.8389, loss_cls: 2.7061, loss: 2.7061 +2024-01-03 11:03:24,041 - pyskl - INFO - Epoch [143][800/3746] lr: 6.634e-04, eta: 5:05:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6277, top5_acc: 0.8408, loss_cls: 2.7111, loss: 2.7111 +2024-01-03 11:04:23,288 - pyskl - INFO - Epoch [143][900/3746] lr: 6.589e-04, eta: 5:04:04, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6211, top5_acc: 0.8364, loss_cls: 2.7256, loss: 2.7256 +2024-01-03 11:05:22,278 - pyskl - INFO - Epoch [143][1000/3746] lr: 6.544e-04, eta: 5:03:00, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6242, top5_acc: 0.8417, loss_cls: 2.7090, loss: 2.7090 +2024-01-03 11:06:21,304 - pyskl - INFO - Epoch [143][1100/3746] lr: 6.499e-04, eta: 5:01:57, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6147, top5_acc: 0.8402, loss_cls: 2.7277, loss: 2.7277 +2024-01-03 11:07:20,710 - pyskl - INFO - Epoch [143][1200/3746] lr: 6.454e-04, eta: 5:00:54, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6212, top5_acc: 0.8414, loss_cls: 2.7094, loss: 2.7094 +2024-01-03 11:08:19,936 - pyskl - INFO - Epoch [143][1300/3746] lr: 6.409e-04, eta: 4:59:51, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6289, top5_acc: 0.8419, loss_cls: 2.7146, loss: 2.7146 +2024-01-03 11:09:19,386 - pyskl - INFO - Epoch [143][1400/3746] lr: 6.365e-04, eta: 4:58:48, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6283, top5_acc: 0.8427, loss_cls: 2.6919, loss: 2.6919 +2024-01-03 11:10:18,289 - pyskl - INFO - Epoch [143][1500/3746] lr: 6.320e-04, eta: 4:57:44, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.6128, top5_acc: 0.8380, loss_cls: 2.7210, loss: 2.7210 +2024-01-03 11:11:17,246 - pyskl - INFO - Epoch [143][1600/3746] lr: 6.276e-04, eta: 4:56:41, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6203, top5_acc: 0.8428, loss_cls: 2.7075, loss: 2.7075 +2024-01-03 11:12:16,504 - pyskl - INFO - Epoch [143][1700/3746] lr: 6.232e-04, eta: 4:55:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6244, top5_acc: 0.8384, loss_cls: 2.7247, loss: 2.7247 +2024-01-03 11:13:15,665 - pyskl - INFO - Epoch [143][1800/3746] lr: 6.188e-04, eta: 4:54:35, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6250, top5_acc: 0.8469, loss_cls: 2.6855, loss: 2.6855 +2024-01-03 11:14:14,846 - pyskl - INFO - Epoch [143][1900/3746] lr: 6.144e-04, eta: 4:53:32, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6225, top5_acc: 0.8417, loss_cls: 2.7253, loss: 2.7253 +2024-01-03 11:15:14,132 - pyskl - INFO - Epoch [143][2000/3746] lr: 6.101e-04, eta: 4:52:29, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6080, top5_acc: 0.8347, loss_cls: 2.7579, loss: 2.7579 +2024-01-03 11:16:13,379 - pyskl - INFO - Epoch [143][2100/3746] lr: 6.057e-04, eta: 4:51:25, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6172, top5_acc: 0.8423, loss_cls: 2.7428, loss: 2.7428 +2024-01-03 11:17:12,506 - pyskl - INFO - Epoch [143][2200/3746] lr: 6.014e-04, eta: 4:50:22, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6214, top5_acc: 0.8472, loss_cls: 2.6989, loss: 2.6989 +2024-01-03 11:18:11,694 - pyskl - INFO - Epoch [143][2300/3746] lr: 5.971e-04, eta: 4:49:19, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6189, top5_acc: 0.8364, loss_cls: 2.7308, loss: 2.7308 +2024-01-03 11:19:11,310 - pyskl - INFO - Epoch [143][2400/3746] lr: 5.928e-04, eta: 4:48:16, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6208, top5_acc: 0.8408, loss_cls: 2.7151, loss: 2.7151 +2024-01-03 11:20:12,192 - pyskl - INFO - Epoch [143][2500/3746] lr: 5.885e-04, eta: 4:47:13, time: 0.609, data_time: 0.000, memory: 16177, top1_acc: 0.6183, top5_acc: 0.8353, loss_cls: 2.7255, loss: 2.7255 +2024-01-03 11:21:13,813 - pyskl - INFO - Epoch [143][2600/3746] lr: 5.842e-04, eta: 4:46:10, time: 0.616, data_time: 0.000, memory: 16177, top1_acc: 0.6173, top5_acc: 0.8350, loss_cls: 2.7414, loss: 2.7414 +2024-01-03 11:22:13,653 - pyskl - INFO - Epoch [143][2700/3746] lr: 5.800e-04, eta: 4:45:07, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6147, top5_acc: 0.8364, loss_cls: 2.7338, loss: 2.7338 +2024-01-03 11:23:13,339 - pyskl - INFO - Epoch [143][2800/3746] lr: 5.757e-04, eta: 4:44:04, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6175, top5_acc: 0.8373, loss_cls: 2.7463, loss: 2.7463 +2024-01-03 11:24:12,789 - pyskl - INFO - Epoch [143][2900/3746] lr: 5.715e-04, eta: 4:43:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6233, top5_acc: 0.8406, loss_cls: 2.6994, loss: 2.6994 +2024-01-03 11:25:11,899 - pyskl - INFO - Epoch [143][3000/3746] lr: 5.673e-04, eta: 4:41:58, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6131, top5_acc: 0.8345, loss_cls: 2.7463, loss: 2.7463 +2024-01-03 11:26:11,381 - pyskl - INFO - Epoch [143][3100/3746] lr: 5.631e-04, eta: 4:40:55, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6131, top5_acc: 0.8386, loss_cls: 2.7394, loss: 2.7394 +2024-01-03 11:27:10,394 - pyskl - INFO - Epoch [143][3200/3746] lr: 5.590e-04, eta: 4:39:52, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6192, top5_acc: 0.8284, loss_cls: 2.7436, loss: 2.7436 +2024-01-03 11:28:09,469 - pyskl - INFO - Epoch [143][3300/3746] lr: 5.548e-04, eta: 4:38:49, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6070, top5_acc: 0.8337, loss_cls: 2.7672, loss: 2.7672 +2024-01-03 11:29:08,456 - pyskl - INFO - Epoch [143][3400/3746] lr: 5.506e-04, eta: 4:37:45, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6103, top5_acc: 0.8267, loss_cls: 2.7650, loss: 2.7650 +2024-01-03 11:30:08,058 - pyskl - INFO - Epoch [143][3500/3746] lr: 5.465e-04, eta: 4:36:42, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6112, top5_acc: 0.8311, loss_cls: 2.7637, loss: 2.7637 +2024-01-03 11:31:07,735 - pyskl - INFO - Epoch [143][3600/3746] lr: 5.424e-04, eta: 4:35:39, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6178, top5_acc: 0.8403, loss_cls: 2.7259, loss: 2.7259 +2024-01-03 11:32:07,530 - pyskl - INFO - Epoch [143][3700/3746] lr: 5.383e-04, eta: 4:34:36, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6156, top5_acc: 0.8306, loss_cls: 2.7352, loss: 2.7352 +2024-01-03 11:32:37,994 - pyskl - INFO - Saving checkpoint at 143 epochs +2024-01-03 11:34:32,527 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 11:34:33,597 - pyskl - INFO - +top1_acc 0.4407 +top5_acc 0.6879 +2024-01-03 11:34:33,597 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 11:34:33,634 - pyskl - INFO - +mean_acc 0.4404 +2024-01-03 11:34:33,643 - pyskl - INFO - Epoch(val) [143][309] top1_acc: 0.4407, top5_acc: 0.6879, mean_class_accuracy: 0.4404 +2024-01-03 11:37:59,441 - pyskl - INFO - Epoch [144][100/3746] lr: 5.323e-04, eta: 4:33:17, time: 2.058, data_time: 1.443, memory: 16177, top1_acc: 0.6388, top5_acc: 0.8555, loss_cls: 2.6262, loss: 2.6262 +2024-01-03 11:38:59,345 - pyskl - INFO - Epoch [144][200/3746] lr: 5.283e-04, eta: 4:32:14, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6338, top5_acc: 0.8473, loss_cls: 2.6767, loss: 2.6767 +2024-01-03 11:39:59,237 - pyskl - INFO - Epoch [144][300/3746] lr: 5.242e-04, eta: 4:31:11, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6370, top5_acc: 0.8567, loss_cls: 2.6530, loss: 2.6530 +2024-01-03 11:40:59,448 - pyskl - INFO - Epoch [144][400/3746] lr: 5.202e-04, eta: 4:30:08, time: 0.602, data_time: 0.001, memory: 16177, top1_acc: 0.6291, top5_acc: 0.8452, loss_cls: 2.6816, loss: 2.6816 +2024-01-03 11:41:58,921 - pyskl - INFO - Epoch [144][500/3746] lr: 5.162e-04, eta: 4:29:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6330, top5_acc: 0.8492, loss_cls: 2.6687, loss: 2.6687 +2024-01-03 11:42:58,141 - pyskl - INFO - Epoch [144][600/3746] lr: 5.122e-04, eta: 4:28:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6278, top5_acc: 0.8448, loss_cls: 2.6840, loss: 2.6840 +2024-01-03 11:43:57,353 - pyskl - INFO - Epoch [144][700/3746] lr: 5.082e-04, eta: 4:26:58, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6386, top5_acc: 0.8458, loss_cls: 2.6587, loss: 2.6587 +2024-01-03 11:44:57,125 - pyskl - INFO - Epoch [144][800/3746] lr: 5.042e-04, eta: 4:25:55, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6403, top5_acc: 0.8569, loss_cls: 2.6247, loss: 2.6247 +2024-01-03 11:45:56,718 - pyskl - INFO - Epoch [144][900/3746] lr: 5.003e-04, eta: 4:24:52, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6317, top5_acc: 0.8420, loss_cls: 2.6802, loss: 2.6802 +2024-01-03 11:46:56,353 - pyskl - INFO - Epoch [144][1000/3746] lr: 4.964e-04, eta: 4:23:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6377, top5_acc: 0.8514, loss_cls: 2.6500, loss: 2.6500 +2024-01-03 11:47:55,728 - pyskl - INFO - Epoch [144][1100/3746] lr: 4.924e-04, eta: 4:22:46, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6302, top5_acc: 0.8477, loss_cls: 2.6606, loss: 2.6606 +2024-01-03 11:48:55,665 - pyskl - INFO - Epoch [144][1200/3746] lr: 4.885e-04, eta: 4:21:43, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6239, top5_acc: 0.8520, loss_cls: 2.6840, loss: 2.6840 +2024-01-03 11:49:54,691 - pyskl - INFO - Epoch [144][1300/3746] lr: 4.846e-04, eta: 4:20:40, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6212, top5_acc: 0.8456, loss_cls: 2.6948, loss: 2.6948 +2024-01-03 11:50:53,848 - pyskl - INFO - Epoch [144][1400/3746] lr: 4.808e-04, eta: 4:19:37, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6270, top5_acc: 0.8470, loss_cls: 2.6749, loss: 2.6749 +2024-01-03 11:51:52,879 - pyskl - INFO - Epoch [144][1500/3746] lr: 4.769e-04, eta: 4:18:33, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6262, top5_acc: 0.8377, loss_cls: 2.7170, loss: 2.7170 +2024-01-03 11:52:52,380 - pyskl - INFO - Epoch [144][1600/3746] lr: 4.731e-04, eta: 4:17:30, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6284, top5_acc: 0.8441, loss_cls: 2.6917, loss: 2.6917 +2024-01-03 11:53:51,957 - pyskl - INFO - Epoch [144][1700/3746] lr: 4.692e-04, eta: 4:16:27, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6345, top5_acc: 0.8442, loss_cls: 2.6741, loss: 2.6741 +2024-01-03 11:54:51,192 - pyskl - INFO - Epoch [144][1800/3746] lr: 4.654e-04, eta: 4:15:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6408, top5_acc: 0.8562, loss_cls: 2.6380, loss: 2.6380 +2024-01-03 11:55:50,285 - pyskl - INFO - Epoch [144][1900/3746] lr: 4.616e-04, eta: 4:14:21, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6353, top5_acc: 0.8508, loss_cls: 2.6533, loss: 2.6533 +2024-01-03 11:56:49,492 - pyskl - INFO - Epoch [144][2000/3746] lr: 4.578e-04, eta: 4:13:18, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6259, top5_acc: 0.8462, loss_cls: 2.6817, loss: 2.6817 +2024-01-03 11:57:48,798 - pyskl - INFO - Epoch [144][2100/3746] lr: 4.541e-04, eta: 4:12:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6309, top5_acc: 0.8484, loss_cls: 2.6861, loss: 2.6861 +2024-01-03 11:58:48,057 - pyskl - INFO - Epoch [144][2200/3746] lr: 4.503e-04, eta: 4:11:12, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6212, top5_acc: 0.8373, loss_cls: 2.7222, loss: 2.7222 +2024-01-03 11:59:47,174 - pyskl - INFO - Epoch [144][2300/3746] lr: 4.466e-04, eta: 4:10:09, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6192, top5_acc: 0.8447, loss_cls: 2.7029, loss: 2.7029 +2024-01-03 12:00:46,753 - pyskl - INFO - Epoch [144][2400/3746] lr: 4.429e-04, eta: 4:09:06, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6336, top5_acc: 0.8459, loss_cls: 2.6715, loss: 2.6715 +2024-01-03 12:01:46,460 - pyskl - INFO - Epoch [144][2500/3746] lr: 4.392e-04, eta: 4:08:03, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6177, top5_acc: 0.8397, loss_cls: 2.7247, loss: 2.7247 +2024-01-03 12:02:46,762 - pyskl - INFO - Epoch [144][2600/3746] lr: 4.355e-04, eta: 4:07:00, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6267, top5_acc: 0.8547, loss_cls: 2.6693, loss: 2.6693 +2024-01-03 12:03:46,058 - pyskl - INFO - Epoch [144][2700/3746] lr: 4.318e-04, eta: 4:05:57, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6341, top5_acc: 0.8459, loss_cls: 2.6701, loss: 2.6701 +2024-01-03 12:04:45,819 - pyskl - INFO - Epoch [144][2800/3746] lr: 4.281e-04, eta: 4:04:54, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6241, top5_acc: 0.8456, loss_cls: 2.7080, loss: 2.7080 +2024-01-03 12:05:45,110 - pyskl - INFO - Epoch [144][2900/3746] lr: 4.245e-04, eta: 4:03:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6195, top5_acc: 0.8402, loss_cls: 2.7078, loss: 2.7078 +2024-01-03 12:06:44,415 - pyskl - INFO - Epoch [144][3000/3746] lr: 4.209e-04, eta: 4:02:48, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6228, top5_acc: 0.8392, loss_cls: 2.7172, loss: 2.7172 +2024-01-03 12:07:43,769 - pyskl - INFO - Epoch [144][3100/3746] lr: 4.173e-04, eta: 4:01:44, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6305, top5_acc: 0.8467, loss_cls: 2.6813, loss: 2.6813 +2024-01-03 12:08:42,773 - pyskl - INFO - Epoch [144][3200/3746] lr: 4.137e-04, eta: 4:00:41, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6236, top5_acc: 0.8455, loss_cls: 2.7042, loss: 2.7042 +2024-01-03 12:09:41,739 - pyskl - INFO - Epoch [144][3300/3746] lr: 4.101e-04, eta: 3:59:38, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6267, top5_acc: 0.8395, loss_cls: 2.7064, loss: 2.7064 +2024-01-03 12:10:40,757 - pyskl - INFO - Epoch [144][3400/3746] lr: 4.065e-04, eta: 3:58:35, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6167, top5_acc: 0.8419, loss_cls: 2.7056, loss: 2.7056 +2024-01-03 12:11:40,551 - pyskl - INFO - Epoch [144][3500/3746] lr: 4.030e-04, eta: 3:57:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6308, top5_acc: 0.8542, loss_cls: 2.6528, loss: 2.6528 +2024-01-03 12:12:40,287 - pyskl - INFO - Epoch [144][3600/3746] lr: 3.994e-04, eta: 3:56:29, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6208, top5_acc: 0.8467, loss_cls: 2.7024, loss: 2.7024 +2024-01-03 12:13:39,963 - pyskl - INFO - Epoch [144][3700/3746] lr: 3.959e-04, eta: 3:55:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6212, top5_acc: 0.8433, loss_cls: 2.7008, loss: 2.7008 +2024-01-03 12:14:10,081 - pyskl - INFO - Saving checkpoint at 144 epochs +2024-01-03 12:16:06,486 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 12:16:07,311 - pyskl - INFO - +top1_acc 0.4419 +top5_acc 0.6919 +2024-01-03 12:16:07,311 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 12:16:07,346 - pyskl - INFO - +mean_acc 0.4416 +2024-01-03 12:16:07,352 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_142.pth was removed +2024-01-03 12:16:07,613 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_144.pth. +2024-01-03 12:16:07,613 - pyskl - INFO - Best top1_acc is 0.4419 at 144 epoch. +2024-01-03 12:16:07,625 - pyskl - INFO - Epoch(val) [144][309] top1_acc: 0.4419, top5_acc: 0.6919, mean_class_accuracy: 0.4416 +2024-01-03 12:19:34,826 - pyskl - INFO - Epoch [145][100/3746] lr: 3.908e-04, eta: 3:54:05, time: 2.072, data_time: 1.463, memory: 16177, top1_acc: 0.6509, top5_acc: 0.8659, loss_cls: 2.5816, loss: 2.5816 +2024-01-03 12:20:35,145 - pyskl - INFO - Epoch [145][200/3746] lr: 3.873e-04, eta: 3:53:02, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6464, top5_acc: 0.8611, loss_cls: 2.6005, loss: 2.6005 +2024-01-03 12:21:34,689 - pyskl - INFO - Epoch [145][300/3746] lr: 3.839e-04, eta: 3:51:59, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6408, top5_acc: 0.8566, loss_cls: 2.6148, loss: 2.6148 +2024-01-03 12:22:34,453 - pyskl - INFO - Epoch [145][400/3746] lr: 3.804e-04, eta: 3:50:56, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6328, top5_acc: 0.8472, loss_cls: 2.6641, loss: 2.6641 +2024-01-03 12:23:33,552 - pyskl - INFO - Epoch [145][500/3746] lr: 3.770e-04, eta: 3:49:53, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6458, top5_acc: 0.8572, loss_cls: 2.6163, loss: 2.6163 +2024-01-03 12:24:32,655 - pyskl - INFO - Epoch [145][600/3746] lr: 3.736e-04, eta: 3:48:50, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6416, top5_acc: 0.8580, loss_cls: 2.6087, loss: 2.6087 +2024-01-03 12:25:31,629 - pyskl - INFO - Epoch [145][700/3746] lr: 3.702e-04, eta: 3:47:47, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6422, top5_acc: 0.8556, loss_cls: 2.6325, loss: 2.6325 +2024-01-03 12:26:30,887 - pyskl - INFO - Epoch [145][800/3746] lr: 3.668e-04, eta: 3:46:44, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6448, top5_acc: 0.8561, loss_cls: 2.6276, loss: 2.6276 +2024-01-03 12:27:29,980 - pyskl - INFO - Epoch [145][900/3746] lr: 3.634e-04, eta: 3:45:41, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6428, top5_acc: 0.8555, loss_cls: 2.6114, loss: 2.6114 +2024-01-03 12:28:29,150 - pyskl - INFO - Epoch [145][1000/3746] lr: 3.600e-04, eta: 3:44:37, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6470, top5_acc: 0.8564, loss_cls: 2.6111, loss: 2.6111 +2024-01-03 12:29:28,479 - pyskl - INFO - Epoch [145][1100/3746] lr: 3.567e-04, eta: 3:43:34, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6553, top5_acc: 0.8588, loss_cls: 2.5945, loss: 2.5945 +2024-01-03 12:30:27,591 - pyskl - INFO - Epoch [145][1200/3746] lr: 3.534e-04, eta: 3:42:31, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6322, top5_acc: 0.8475, loss_cls: 2.6593, loss: 2.6593 +2024-01-03 12:31:26,634 - pyskl - INFO - Epoch [145][1300/3746] lr: 3.501e-04, eta: 3:41:28, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6447, top5_acc: 0.8584, loss_cls: 2.6057, loss: 2.6057 +2024-01-03 12:32:25,620 - pyskl - INFO - Epoch [145][1400/3746] lr: 3.468e-04, eta: 3:40:25, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6431, top5_acc: 0.8494, loss_cls: 2.6432, loss: 2.6432 +2024-01-03 12:33:24,752 - pyskl - INFO - Epoch [145][1500/3746] lr: 3.435e-04, eta: 3:39:22, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6425, top5_acc: 0.8625, loss_cls: 2.6121, loss: 2.6121 +2024-01-03 12:34:23,863 - pyskl - INFO - Epoch [145][1600/3746] lr: 3.402e-04, eta: 3:38:19, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6417, top5_acc: 0.8500, loss_cls: 2.6382, loss: 2.6382 +2024-01-03 12:35:23,035 - pyskl - INFO - Epoch [145][1700/3746] lr: 3.370e-04, eta: 3:37:16, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6339, top5_acc: 0.8459, loss_cls: 2.6649, loss: 2.6649 +2024-01-03 12:36:22,343 - pyskl - INFO - Epoch [145][1800/3746] lr: 3.337e-04, eta: 3:36:13, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6480, top5_acc: 0.8588, loss_cls: 2.6026, loss: 2.6026 +2024-01-03 12:37:21,803 - pyskl - INFO - Epoch [145][1900/3746] lr: 3.305e-04, eta: 3:35:10, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6388, top5_acc: 0.8581, loss_cls: 2.6394, loss: 2.6394 +2024-01-03 12:38:21,178 - pyskl - INFO - Epoch [145][2000/3746] lr: 3.273e-04, eta: 3:34:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6391, top5_acc: 0.8528, loss_cls: 2.6396, loss: 2.6396 +2024-01-03 12:39:20,688 - pyskl - INFO - Epoch [145][2100/3746] lr: 3.241e-04, eta: 3:33:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6397, top5_acc: 0.8509, loss_cls: 2.6338, loss: 2.6338 +2024-01-03 12:40:20,110 - pyskl - INFO - Epoch [145][2200/3746] lr: 3.210e-04, eta: 3:32:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6264, top5_acc: 0.8458, loss_cls: 2.6684, loss: 2.6684 +2024-01-03 12:41:19,376 - pyskl - INFO - Epoch [145][2300/3746] lr: 3.178e-04, eta: 3:30:58, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6244, top5_acc: 0.8497, loss_cls: 2.6894, loss: 2.6894 +2024-01-03 12:42:18,784 - pyskl - INFO - Epoch [145][2400/3746] lr: 3.147e-04, eta: 3:29:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6328, top5_acc: 0.8503, loss_cls: 2.6620, loss: 2.6620 +2024-01-03 12:43:19,398 - pyskl - INFO - Epoch [145][2500/3746] lr: 3.116e-04, eta: 3:28:52, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6386, top5_acc: 0.8552, loss_cls: 2.6212, loss: 2.6212 +2024-01-03 12:44:19,982 - pyskl - INFO - Epoch [145][2600/3746] lr: 3.084e-04, eta: 3:27:49, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6386, top5_acc: 0.8550, loss_cls: 2.6419, loss: 2.6419 +2024-01-03 12:45:19,676 - pyskl - INFO - Epoch [145][2700/3746] lr: 3.054e-04, eta: 3:26:46, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6270, top5_acc: 0.8450, loss_cls: 2.6814, loss: 2.6814 +2024-01-03 12:46:19,269 - pyskl - INFO - Epoch [145][2800/3746] lr: 3.023e-04, eta: 3:25:43, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6405, top5_acc: 0.8525, loss_cls: 2.6334, loss: 2.6334 +2024-01-03 12:47:18,780 - pyskl - INFO - Epoch [145][2900/3746] lr: 2.992e-04, eta: 3:24:40, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6431, top5_acc: 0.8539, loss_cls: 2.6353, loss: 2.6353 +2024-01-03 12:48:18,270 - pyskl - INFO - Epoch [145][3000/3746] lr: 2.962e-04, eta: 3:23:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6308, top5_acc: 0.8433, loss_cls: 2.6713, loss: 2.6713 +2024-01-03 12:49:17,362 - pyskl - INFO - Epoch [145][3100/3746] lr: 2.931e-04, eta: 3:22:34, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6319, top5_acc: 0.8478, loss_cls: 2.6456, loss: 2.6456 +2024-01-03 12:50:16,243 - pyskl - INFO - Epoch [145][3200/3746] lr: 2.901e-04, eta: 3:21:31, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.6433, top5_acc: 0.8511, loss_cls: 2.6274, loss: 2.6274 +2024-01-03 12:51:15,390 - pyskl - INFO - Epoch [145][3300/3746] lr: 2.871e-04, eta: 3:20:28, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6395, top5_acc: 0.8544, loss_cls: 2.6523, loss: 2.6523 +2024-01-03 12:52:14,538 - pyskl - INFO - Epoch [145][3400/3746] lr: 2.841e-04, eta: 3:19:25, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6342, top5_acc: 0.8483, loss_cls: 2.6496, loss: 2.6496 +2024-01-03 12:53:14,849 - pyskl - INFO - Epoch [145][3500/3746] lr: 2.812e-04, eta: 3:18:22, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6298, top5_acc: 0.8530, loss_cls: 2.6539, loss: 2.6539 +2024-01-03 12:54:14,641 - pyskl - INFO - Epoch [145][3600/3746] lr: 2.782e-04, eta: 3:17:19, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6403, top5_acc: 0.8503, loss_cls: 2.6421, loss: 2.6421 +2024-01-03 12:55:14,107 - pyskl - INFO - Epoch [145][3700/3746] lr: 2.753e-04, eta: 3:16:16, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6411, top5_acc: 0.8528, loss_cls: 2.6547, loss: 2.6547 +2024-01-03 12:55:43,783 - pyskl - INFO - Saving checkpoint at 145 epochs +2024-01-03 12:57:40,545 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 12:57:41,574 - pyskl - INFO - +top1_acc 0.4440 +top5_acc 0.6895 +2024-01-03 12:57:41,574 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 12:57:41,613 - pyskl - INFO - +mean_acc 0.4437 +2024-01-03 12:57:41,618 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_144.pth was removed +2024-01-03 12:57:41,938 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_145.pth. +2024-01-03 12:57:41,938 - pyskl - INFO - Best top1_acc is 0.4440 at 145 epoch. +2024-01-03 12:57:41,947 - pyskl - INFO - Epoch(val) [145][309] top1_acc: 0.4440, top5_acc: 0.6895, mean_class_accuracy: 0.4437 +2024-01-03 13:01:09,104 - pyskl - INFO - Epoch [146][100/3746] lr: 2.710e-04, eta: 3:14:53, time: 2.071, data_time: 1.465, memory: 16177, top1_acc: 0.6523, top5_acc: 0.8655, loss_cls: 2.5861, loss: 2.5861 +2024-01-03 13:02:08,791 - pyskl - INFO - Epoch [146][200/3746] lr: 2.681e-04, eta: 3:13:50, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6447, top5_acc: 0.8547, loss_cls: 2.6297, loss: 2.6297 +2024-01-03 13:03:08,350 - pyskl - INFO - Epoch [146][300/3746] lr: 2.652e-04, eta: 3:12:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6500, top5_acc: 0.8630, loss_cls: 2.5833, loss: 2.5833 +2024-01-03 13:04:07,985 - pyskl - INFO - Epoch [146][400/3746] lr: 2.624e-04, eta: 3:11:44, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6567, top5_acc: 0.8616, loss_cls: 2.5704, loss: 2.5704 +2024-01-03 13:05:07,078 - pyskl - INFO - Epoch [146][500/3746] lr: 2.595e-04, eta: 3:10:41, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6609, top5_acc: 0.8708, loss_cls: 2.5420, loss: 2.5420 +2024-01-03 13:06:06,338 - pyskl - INFO - Epoch [146][600/3746] lr: 2.567e-04, eta: 3:09:38, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6528, top5_acc: 0.8562, loss_cls: 2.5867, loss: 2.5867 +2024-01-03 13:07:05,582 - pyskl - INFO - Epoch [146][700/3746] lr: 2.539e-04, eta: 3:08:35, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6492, top5_acc: 0.8591, loss_cls: 2.5861, loss: 2.5861 +2024-01-03 13:08:04,844 - pyskl - INFO - Epoch [146][800/3746] lr: 2.511e-04, eta: 3:07:32, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6497, top5_acc: 0.8578, loss_cls: 2.5867, loss: 2.5867 +2024-01-03 13:09:03,965 - pyskl - INFO - Epoch [146][900/3746] lr: 2.483e-04, eta: 3:06:29, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6566, top5_acc: 0.8636, loss_cls: 2.5707, loss: 2.5707 +2024-01-03 13:10:03,319 - pyskl - INFO - Epoch [146][1000/3746] lr: 2.455e-04, eta: 3:05:26, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6442, top5_acc: 0.8595, loss_cls: 2.6004, loss: 2.6004 +2024-01-03 13:11:02,903 - pyskl - INFO - Epoch [146][1100/3746] lr: 2.427e-04, eta: 3:04:23, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6514, top5_acc: 0.8566, loss_cls: 2.5968, loss: 2.5968 +2024-01-03 13:12:02,163 - pyskl - INFO - Epoch [146][1200/3746] lr: 2.400e-04, eta: 3:03:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6562, top5_acc: 0.8603, loss_cls: 2.5893, loss: 2.5893 +2024-01-03 13:13:01,371 - pyskl - INFO - Epoch [146][1300/3746] lr: 2.373e-04, eta: 3:02:17, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6566, top5_acc: 0.8648, loss_cls: 2.5678, loss: 2.5678 +2024-01-03 13:14:00,794 - pyskl - INFO - Epoch [146][1400/3746] lr: 2.345e-04, eta: 3:01:14, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6523, top5_acc: 0.8633, loss_cls: 2.5760, loss: 2.5760 +2024-01-03 13:15:00,173 - pyskl - INFO - Epoch [146][1500/3746] lr: 2.318e-04, eta: 3:00:11, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6519, top5_acc: 0.8586, loss_cls: 2.5977, loss: 2.5977 +2024-01-03 13:15:59,725 - pyskl - INFO - Epoch [146][1600/3746] lr: 2.292e-04, eta: 2:59:08, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6492, top5_acc: 0.8597, loss_cls: 2.5999, loss: 2.5999 +2024-01-03 13:16:58,996 - pyskl - INFO - Epoch [146][1700/3746] lr: 2.265e-04, eta: 2:58:05, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6497, top5_acc: 0.8622, loss_cls: 2.5810, loss: 2.5810 +2024-01-03 13:17:58,299 - pyskl - INFO - Epoch [146][1800/3746] lr: 2.239e-04, eta: 2:57:02, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6484, top5_acc: 0.8605, loss_cls: 2.6116, loss: 2.6116 +2024-01-03 13:18:57,863 - pyskl - INFO - Epoch [146][1900/3746] lr: 2.212e-04, eta: 2:55:59, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6503, top5_acc: 0.8572, loss_cls: 2.6031, loss: 2.6031 +2024-01-03 13:19:57,414 - pyskl - INFO - Epoch [146][2000/3746] lr: 2.186e-04, eta: 2:54:56, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6497, top5_acc: 0.8656, loss_cls: 2.5836, loss: 2.5836 +2024-01-03 13:20:56,858 - pyskl - INFO - Epoch [146][2100/3746] lr: 2.160e-04, eta: 2:53:53, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6375, top5_acc: 0.8528, loss_cls: 2.6403, loss: 2.6403 +2024-01-03 13:21:56,113 - pyskl - INFO - Epoch [146][2200/3746] lr: 2.134e-04, eta: 2:52:51, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6473, top5_acc: 0.8578, loss_cls: 2.6085, loss: 2.6085 +2024-01-03 13:22:55,242 - pyskl - INFO - Epoch [146][2300/3746] lr: 2.108e-04, eta: 2:51:48, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6383, top5_acc: 0.8556, loss_cls: 2.6151, loss: 2.6151 +2024-01-03 13:23:55,059 - pyskl - INFO - Epoch [146][2400/3746] lr: 2.083e-04, eta: 2:50:45, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6495, top5_acc: 0.8564, loss_cls: 2.6094, loss: 2.6094 +2024-01-03 13:24:55,382 - pyskl - INFO - Epoch [146][2500/3746] lr: 2.057e-04, eta: 2:49:42, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6455, top5_acc: 0.8559, loss_cls: 2.6135, loss: 2.6135 +2024-01-03 13:25:55,655 - pyskl - INFO - Epoch [146][2600/3746] lr: 2.032e-04, eta: 2:48:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6534, top5_acc: 0.8666, loss_cls: 2.5859, loss: 2.5859 +2024-01-03 13:26:56,174 - pyskl - INFO - Epoch [146][2700/3746] lr: 2.007e-04, eta: 2:47:36, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6425, top5_acc: 0.8566, loss_cls: 2.6155, loss: 2.6155 +2024-01-03 13:27:55,656 - pyskl - INFO - Epoch [146][2800/3746] lr: 1.982e-04, eta: 2:46:33, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6448, top5_acc: 0.8595, loss_cls: 2.5999, loss: 2.5999 +2024-01-03 13:28:55,014 - pyskl - INFO - Epoch [146][2900/3746] lr: 1.957e-04, eta: 2:45:30, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6411, top5_acc: 0.8619, loss_cls: 2.6029, loss: 2.6029 +2024-01-03 13:29:54,193 - pyskl - INFO - Epoch [146][3000/3746] lr: 1.933e-04, eta: 2:44:27, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6392, top5_acc: 0.8606, loss_cls: 2.6233, loss: 2.6233 +2024-01-03 13:30:53,287 - pyskl - INFO - Epoch [146][3100/3746] lr: 1.908e-04, eta: 2:43:24, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6519, top5_acc: 0.8545, loss_cls: 2.6087, loss: 2.6087 +2024-01-03 13:31:52,472 - pyskl - INFO - Epoch [146][3200/3746] lr: 1.884e-04, eta: 2:42:21, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6517, top5_acc: 0.8534, loss_cls: 2.6073, loss: 2.6073 +2024-01-03 13:32:51,951 - pyskl - INFO - Epoch [146][3300/3746] lr: 1.860e-04, eta: 2:41:18, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6512, top5_acc: 0.8625, loss_cls: 2.5756, loss: 2.5756 +2024-01-03 13:33:51,437 - pyskl - INFO - Epoch [146][3400/3746] lr: 1.836e-04, eta: 2:40:15, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6517, top5_acc: 0.8523, loss_cls: 2.6081, loss: 2.6081 +2024-01-03 13:34:51,188 - pyskl - INFO - Epoch [146][3500/3746] lr: 1.812e-04, eta: 2:39:13, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6528, top5_acc: 0.8589, loss_cls: 2.6035, loss: 2.6035 +2024-01-03 13:35:51,466 - pyskl - INFO - Epoch [146][3600/3746] lr: 1.788e-04, eta: 2:38:10, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6587, top5_acc: 0.8677, loss_cls: 2.5509, loss: 2.5509 +2024-01-03 13:36:51,214 - pyskl - INFO - Epoch [146][3700/3746] lr: 1.765e-04, eta: 2:37:07, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6400, top5_acc: 0.8477, loss_cls: 2.6248, loss: 2.6248 +2024-01-03 13:37:21,429 - pyskl - INFO - Saving checkpoint at 146 epochs +2024-01-03 13:39:16,352 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 13:39:17,196 - pyskl - INFO - +top1_acc 0.4436 +top5_acc 0.6898 +2024-01-03 13:39:17,196 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 13:39:17,233 - pyskl - INFO - +mean_acc 0.4433 +2024-01-03 13:39:17,245 - pyskl - INFO - Epoch(val) [146][309] top1_acc: 0.4436, top5_acc: 0.6898, mean_class_accuracy: 0.4433 +2024-01-03 13:42:42,214 - pyskl - INFO - Epoch [147][100/3746] lr: 1.730e-04, eta: 2:35:42, time: 2.050, data_time: 1.443, memory: 16177, top1_acc: 0.6627, top5_acc: 0.8678, loss_cls: 2.5579, loss: 2.5579 +2024-01-03 13:43:41,991 - pyskl - INFO - Epoch [147][200/3746] lr: 1.707e-04, eta: 2:34:39, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6494, top5_acc: 0.8583, loss_cls: 2.5977, loss: 2.5977 +2024-01-03 13:44:41,924 - pyskl - INFO - Epoch [147][300/3746] lr: 1.684e-04, eta: 2:33:36, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6611, top5_acc: 0.8666, loss_cls: 2.5590, loss: 2.5590 +2024-01-03 13:45:41,629 - pyskl - INFO - Epoch [147][400/3746] lr: 1.661e-04, eta: 2:32:33, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6658, top5_acc: 0.8727, loss_cls: 2.5337, loss: 2.5337 +2024-01-03 13:46:40,940 - pyskl - INFO - Epoch [147][500/3746] lr: 1.639e-04, eta: 2:31:30, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6687, top5_acc: 0.8731, loss_cls: 2.5159, loss: 2.5159 +2024-01-03 13:47:40,286 - pyskl - INFO - Epoch [147][600/3746] lr: 1.616e-04, eta: 2:30:27, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6455, top5_acc: 0.8569, loss_cls: 2.6107, loss: 2.6107 +2024-01-03 13:48:39,482 - pyskl - INFO - Epoch [147][700/3746] lr: 1.594e-04, eta: 2:29:24, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6645, top5_acc: 0.8720, loss_cls: 2.5420, loss: 2.5420 +2024-01-03 13:49:39,249 - pyskl - INFO - Epoch [147][800/3746] lr: 1.572e-04, eta: 2:28:21, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6581, top5_acc: 0.8611, loss_cls: 2.5555, loss: 2.5555 +2024-01-03 13:50:40,225 - pyskl - INFO - Epoch [147][900/3746] lr: 1.550e-04, eta: 2:27:18, time: 0.610, data_time: 0.000, memory: 16177, top1_acc: 0.6550, top5_acc: 0.8586, loss_cls: 2.5890, loss: 2.5890 +2024-01-03 13:51:39,923 - pyskl - INFO - Epoch [147][1000/3746] lr: 1.528e-04, eta: 2:26:15, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6709, top5_acc: 0.8744, loss_cls: 2.5225, loss: 2.5225 +2024-01-03 13:52:39,290 - pyskl - INFO - Epoch [147][1100/3746] lr: 1.506e-04, eta: 2:25:12, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6539, top5_acc: 0.8664, loss_cls: 2.5770, loss: 2.5770 +2024-01-03 13:53:38,887 - pyskl - INFO - Epoch [147][1200/3746] lr: 1.484e-04, eta: 2:24:09, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6617, top5_acc: 0.8677, loss_cls: 2.5502, loss: 2.5502 +2024-01-03 13:54:38,218 - pyskl - INFO - Epoch [147][1300/3746] lr: 1.463e-04, eta: 2:23:07, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6628, top5_acc: 0.8664, loss_cls: 2.5403, loss: 2.5403 +2024-01-03 13:55:37,495 - pyskl - INFO - Epoch [147][1400/3746] lr: 1.442e-04, eta: 2:22:04, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6592, top5_acc: 0.8605, loss_cls: 2.5742, loss: 2.5742 +2024-01-03 13:56:36,751 - pyskl - INFO - Epoch [147][1500/3746] lr: 1.420e-04, eta: 2:21:01, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6580, top5_acc: 0.8606, loss_cls: 2.5827, loss: 2.5827 +2024-01-03 13:57:36,107 - pyskl - INFO - Epoch [147][1600/3746] lr: 1.399e-04, eta: 2:19:58, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6569, top5_acc: 0.8616, loss_cls: 2.5753, loss: 2.5753 +2024-01-03 13:58:35,475 - pyskl - INFO - Epoch [147][1700/3746] lr: 1.379e-04, eta: 2:18:55, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6617, top5_acc: 0.8619, loss_cls: 2.5579, loss: 2.5579 +2024-01-03 13:59:34,818 - pyskl - INFO - Epoch [147][1800/3746] lr: 1.358e-04, eta: 2:17:52, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6548, top5_acc: 0.8566, loss_cls: 2.5916, loss: 2.5916 +2024-01-03 14:00:34,056 - pyskl - INFO - Epoch [147][1900/3746] lr: 1.337e-04, eta: 2:16:49, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6555, top5_acc: 0.8652, loss_cls: 2.5674, loss: 2.5674 +2024-01-03 14:01:33,195 - pyskl - INFO - Epoch [147][2000/3746] lr: 1.317e-04, eta: 2:15:46, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6633, top5_acc: 0.8688, loss_cls: 2.5659, loss: 2.5659 +2024-01-03 14:02:32,350 - pyskl - INFO - Epoch [147][2100/3746] lr: 1.297e-04, eta: 2:14:43, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6672, top5_acc: 0.8681, loss_cls: 2.5404, loss: 2.5404 +2024-01-03 14:03:31,361 - pyskl - INFO - Epoch [147][2200/3746] lr: 1.277e-04, eta: 2:13:40, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6533, top5_acc: 0.8648, loss_cls: 2.5704, loss: 2.5704 +2024-01-03 14:04:30,332 - pyskl - INFO - Epoch [147][2300/3746] lr: 1.257e-04, eta: 2:12:37, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6461, top5_acc: 0.8609, loss_cls: 2.5913, loss: 2.5913 +2024-01-03 14:05:30,242 - pyskl - INFO - Epoch [147][2400/3746] lr: 1.237e-04, eta: 2:11:34, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6570, top5_acc: 0.8605, loss_cls: 2.5652, loss: 2.5652 +2024-01-03 14:06:30,029 - pyskl - INFO - Epoch [147][2500/3746] lr: 1.218e-04, eta: 2:10:32, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6558, top5_acc: 0.8589, loss_cls: 2.5740, loss: 2.5740 +2024-01-03 14:07:29,578 - pyskl - INFO - Epoch [147][2600/3746] lr: 1.198e-04, eta: 2:09:29, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6517, top5_acc: 0.8641, loss_cls: 2.5647, loss: 2.5647 +2024-01-03 14:08:29,139 - pyskl - INFO - Epoch [147][2700/3746] lr: 1.179e-04, eta: 2:08:26, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6577, top5_acc: 0.8691, loss_cls: 2.5451, loss: 2.5451 +2024-01-03 14:09:29,240 - pyskl - INFO - Epoch [147][2800/3746] lr: 1.160e-04, eta: 2:07:23, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6587, top5_acc: 0.8706, loss_cls: 2.5430, loss: 2.5430 +2024-01-03 14:10:28,583 - pyskl - INFO - Epoch [147][2900/3746] lr: 1.141e-04, eta: 2:06:20, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6583, top5_acc: 0.8650, loss_cls: 2.5607, loss: 2.5607 +2024-01-03 14:11:28,097 - pyskl - INFO - Epoch [147][3000/3746] lr: 1.122e-04, eta: 2:05:17, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6591, top5_acc: 0.8592, loss_cls: 2.5686, loss: 2.5686 +2024-01-03 14:12:27,033 - pyskl - INFO - Epoch [147][3100/3746] lr: 1.103e-04, eta: 2:04:14, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.6539, top5_acc: 0.8656, loss_cls: 2.5642, loss: 2.5642 +2024-01-03 14:13:26,377 - pyskl - INFO - Epoch [147][3200/3746] lr: 1.085e-04, eta: 2:03:11, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6600, top5_acc: 0.8691, loss_cls: 2.5430, loss: 2.5430 +2024-01-03 14:14:25,449 - pyskl - INFO - Epoch [147][3300/3746] lr: 1.067e-04, eta: 2:02:08, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6566, top5_acc: 0.8623, loss_cls: 2.5687, loss: 2.5687 +2024-01-03 14:15:24,747 - pyskl - INFO - Epoch [147][3400/3746] lr: 1.048e-04, eta: 2:01:06, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6539, top5_acc: 0.8542, loss_cls: 2.6027, loss: 2.6027 +2024-01-03 14:16:24,724 - pyskl - INFO - Epoch [147][3500/3746] lr: 1.030e-04, eta: 2:00:03, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6586, top5_acc: 0.8662, loss_cls: 2.5583, loss: 2.5583 +2024-01-03 14:17:24,824 - pyskl - INFO - Epoch [147][3600/3746] lr: 1.013e-04, eta: 1:59:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6478, top5_acc: 0.8639, loss_cls: 2.5786, loss: 2.5786 +2024-01-03 14:18:24,507 - pyskl - INFO - Epoch [147][3700/3746] lr: 9.949e-05, eta: 1:57:57, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6611, top5_acc: 0.8727, loss_cls: 2.5284, loss: 2.5284 +2024-01-03 14:18:54,137 - pyskl - INFO - Saving checkpoint at 147 epochs +2024-01-03 14:20:49,745 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 14:20:50,798 - pyskl - INFO - +top1_acc 0.4459 +top5_acc 0.6906 +2024-01-03 14:20:50,798 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 14:20:50,836 - pyskl - INFO - +mean_acc 0.4457 +2024-01-03 14:20:50,837 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_145.pth was removed +2024-01-03 14:20:51,155 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_147.pth. +2024-01-03 14:20:51,156 - pyskl - INFO - Best top1_acc is 0.4459 at 147 epoch. +2024-01-03 14:20:51,165 - pyskl - INFO - Epoch(val) [147][309] top1_acc: 0.4459, top5_acc: 0.6906, mean_class_accuracy: 0.4457 +2024-01-03 14:24:16,114 - pyskl - INFO - Epoch [148][100/3746] lr: 9.693e-05, eta: 1:56:30, time: 2.049, data_time: 1.444, memory: 16177, top1_acc: 0.6634, top5_acc: 0.8720, loss_cls: 2.5217, loss: 2.5217 +2024-01-03 14:25:16,149 - pyskl - INFO - Epoch [148][200/3746] lr: 9.520e-05, eta: 1:55:27, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6608, top5_acc: 0.8709, loss_cls: 2.5490, loss: 2.5490 +2024-01-03 14:26:15,117 - pyskl - INFO - Epoch [148][300/3746] lr: 9.348e-05, eta: 1:54:24, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6620, top5_acc: 0.8622, loss_cls: 2.5409, loss: 2.5409 +2024-01-03 14:27:14,477 - pyskl - INFO - Epoch [148][400/3746] lr: 9.178e-05, eta: 1:53:22, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6655, top5_acc: 0.8712, loss_cls: 2.5103, loss: 2.5103 +2024-01-03 14:28:13,802 - pyskl - INFO - Epoch [148][500/3746] lr: 9.010e-05, eta: 1:52:19, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6598, top5_acc: 0.8656, loss_cls: 2.5545, loss: 2.5545 +2024-01-03 14:29:12,792 - pyskl - INFO - Epoch [148][600/3746] lr: 8.843e-05, eta: 1:51:16, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6630, top5_acc: 0.8662, loss_cls: 2.5731, loss: 2.5731 +2024-01-03 14:30:11,780 - pyskl - INFO - Epoch [148][700/3746] lr: 8.678e-05, eta: 1:50:13, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6683, top5_acc: 0.8686, loss_cls: 2.5341, loss: 2.5341 +2024-01-03 14:31:11,121 - pyskl - INFO - Epoch [148][800/3746] lr: 8.514e-05, eta: 1:49:10, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6659, top5_acc: 0.8706, loss_cls: 2.5360, loss: 2.5360 +2024-01-03 14:32:10,263 - pyskl - INFO - Epoch [148][900/3746] lr: 8.351e-05, eta: 1:48:07, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6625, top5_acc: 0.8738, loss_cls: 2.5141, loss: 2.5141 +2024-01-03 14:33:09,347 - pyskl - INFO - Epoch [148][1000/3746] lr: 8.191e-05, eta: 1:47:04, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6609, top5_acc: 0.8697, loss_cls: 2.5333, loss: 2.5333 +2024-01-03 14:34:08,756 - pyskl - INFO - Epoch [148][1100/3746] lr: 8.031e-05, eta: 1:46:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6652, top5_acc: 0.8731, loss_cls: 2.5299, loss: 2.5299 +2024-01-03 14:35:07,887 - pyskl - INFO - Epoch [148][1200/3746] lr: 7.874e-05, eta: 1:44:58, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6630, top5_acc: 0.8662, loss_cls: 2.5471, loss: 2.5471 +2024-01-03 14:36:07,003 - pyskl - INFO - Epoch [148][1300/3746] lr: 7.718e-05, eta: 1:43:56, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6673, top5_acc: 0.8694, loss_cls: 2.5265, loss: 2.5265 +2024-01-03 14:37:05,887 - pyskl - INFO - Epoch [148][1400/3746] lr: 7.563e-05, eta: 1:42:53, time: 0.589, data_time: 0.000, memory: 16177, top1_acc: 0.6639, top5_acc: 0.8686, loss_cls: 2.5403, loss: 2.5403 +2024-01-03 14:38:04,867 - pyskl - INFO - Epoch [148][1500/3746] lr: 7.410e-05, eta: 1:41:50, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6619, top5_acc: 0.8738, loss_cls: 2.5195, loss: 2.5195 +2024-01-03 14:39:03,935 - pyskl - INFO - Epoch [148][1600/3746] lr: 7.259e-05, eta: 1:40:47, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6653, top5_acc: 0.8692, loss_cls: 2.5196, loss: 2.5196 +2024-01-03 14:40:03,108 - pyskl - INFO - Epoch [148][1700/3746] lr: 7.109e-05, eta: 1:39:44, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6711, top5_acc: 0.8677, loss_cls: 2.5200, loss: 2.5200 +2024-01-03 14:41:02,520 - pyskl - INFO - Epoch [148][1800/3746] lr: 6.961e-05, eta: 1:38:41, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6747, top5_acc: 0.8691, loss_cls: 2.5211, loss: 2.5211 +2024-01-03 14:42:01,692 - pyskl - INFO - Epoch [148][1900/3746] lr: 6.814e-05, eta: 1:37:38, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6566, top5_acc: 0.8598, loss_cls: 2.5627, loss: 2.5627 +2024-01-03 14:43:00,764 - pyskl - INFO - Epoch [148][2000/3746] lr: 6.669e-05, eta: 1:36:35, time: 0.591, data_time: 0.000, memory: 16177, top1_acc: 0.6661, top5_acc: 0.8733, loss_cls: 2.5105, loss: 2.5105 +2024-01-03 14:43:59,941 - pyskl - INFO - Epoch [148][2100/3746] lr: 6.526e-05, eta: 1:35:33, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6637, top5_acc: 0.8622, loss_cls: 2.5428, loss: 2.5428 +2024-01-03 14:44:58,977 - pyskl - INFO - Epoch [148][2200/3746] lr: 6.384e-05, eta: 1:34:30, time: 0.590, data_time: 0.000, memory: 16177, top1_acc: 0.6625, top5_acc: 0.8703, loss_cls: 2.5458, loss: 2.5458 +2024-01-03 14:45:58,435 - pyskl - INFO - Epoch [148][2300/3746] lr: 6.243e-05, eta: 1:33:27, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6587, top5_acc: 0.8677, loss_cls: 2.5444, loss: 2.5444 +2024-01-03 14:46:58,384 - pyskl - INFO - Epoch [148][2400/3746] lr: 6.104e-05, eta: 1:32:24, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6692, top5_acc: 0.8695, loss_cls: 2.5241, loss: 2.5241 +2024-01-03 14:47:58,586 - pyskl - INFO - Epoch [148][2500/3746] lr: 5.967e-05, eta: 1:31:21, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6669, top5_acc: 0.8681, loss_cls: 2.5380, loss: 2.5380 +2024-01-03 14:48:57,916 - pyskl - INFO - Epoch [148][2600/3746] lr: 5.831e-05, eta: 1:30:18, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6655, top5_acc: 0.8677, loss_cls: 2.5302, loss: 2.5302 +2024-01-03 14:49:58,076 - pyskl - INFO - Epoch [148][2700/3746] lr: 5.697e-05, eta: 1:29:15, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6700, top5_acc: 0.8698, loss_cls: 2.5292, loss: 2.5292 +2024-01-03 14:50:58,173 - pyskl - INFO - Epoch [148][2800/3746] lr: 5.564e-05, eta: 1:28:13, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6664, top5_acc: 0.8684, loss_cls: 2.5438, loss: 2.5438 +2024-01-03 14:51:57,780 - pyskl - INFO - Epoch [148][2900/3746] lr: 5.433e-05, eta: 1:27:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6641, top5_acc: 0.8733, loss_cls: 2.5347, loss: 2.5347 +2024-01-03 14:52:57,197 - pyskl - INFO - Epoch [148][3000/3746] lr: 5.304e-05, eta: 1:26:07, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6633, top5_acc: 0.8647, loss_cls: 2.5575, loss: 2.5575 +2024-01-03 14:53:56,562 - pyskl - INFO - Epoch [148][3100/3746] lr: 5.176e-05, eta: 1:25:04, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6695, top5_acc: 0.8745, loss_cls: 2.5107, loss: 2.5107 +2024-01-03 14:54:55,782 - pyskl - INFO - Epoch [148][3200/3746] lr: 5.050e-05, eta: 1:24:01, time: 0.592, data_time: 0.000, memory: 16177, top1_acc: 0.6525, top5_acc: 0.8612, loss_cls: 2.5609, loss: 2.5609 +2024-01-03 14:55:55,150 - pyskl - INFO - Epoch [148][3300/3746] lr: 4.925e-05, eta: 1:22:59, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6502, top5_acc: 0.8656, loss_cls: 2.5626, loss: 2.5626 +2024-01-03 14:56:54,547 - pyskl - INFO - Epoch [148][3400/3746] lr: 4.801e-05, eta: 1:21:56, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6781, top5_acc: 0.8681, loss_cls: 2.5072, loss: 2.5072 +2024-01-03 14:57:54,204 - pyskl - INFO - Epoch [148][3500/3746] lr: 4.680e-05, eta: 1:20:53, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6592, top5_acc: 0.8673, loss_cls: 2.5506, loss: 2.5506 +2024-01-03 14:58:54,140 - pyskl - INFO - Epoch [148][3600/3746] lr: 4.560e-05, eta: 1:19:50, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6687, top5_acc: 0.8752, loss_cls: 2.5179, loss: 2.5179 +2024-01-03 14:59:53,764 - pyskl - INFO - Epoch [148][3700/3746] lr: 4.441e-05, eta: 1:18:47, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6705, top5_acc: 0.8692, loss_cls: 2.5311, loss: 2.5311 +2024-01-03 15:00:23,879 - pyskl - INFO - Saving checkpoint at 148 epochs +2024-01-03 15:02:21,648 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 15:02:22,474 - pyskl - INFO - +top1_acc 0.4460 +top5_acc 0.6910 +2024-01-03 15:02:22,474 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 15:02:22,514 - pyskl - INFO - +mean_acc 0.4457 +2024-01-03 15:02:22,519 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_147.pth was removed +2024-01-03 15:02:22,790 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_148.pth. +2024-01-03 15:02:22,790 - pyskl - INFO - Best top1_acc is 0.4460 at 148 epoch. +2024-01-03 15:02:22,807 - pyskl - INFO - Epoch(val) [148][309] top1_acc: 0.4460, top5_acc: 0.6910, mean_class_accuracy: 0.4457 +2024-01-03 15:05:50,810 - pyskl - INFO - Epoch [149][100/3746] lr: 4.271e-05, eta: 1:17:19, time: 2.080, data_time: 1.469, memory: 16177, top1_acc: 0.6730, top5_acc: 0.8725, loss_cls: 2.5108, loss: 2.5108 +2024-01-03 15:06:51,054 - pyskl - INFO - Epoch [149][200/3746] lr: 4.156e-05, eta: 1:16:16, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6781, top5_acc: 0.8730, loss_cls: 2.5056, loss: 2.5056 +2024-01-03 15:07:51,012 - pyskl - INFO - Epoch [149][300/3746] lr: 4.043e-05, eta: 1:15:13, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6734, top5_acc: 0.8697, loss_cls: 2.5025, loss: 2.5025 +2024-01-03 15:08:51,368 - pyskl - INFO - Epoch [149][400/3746] lr: 3.931e-05, eta: 1:14:10, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6645, top5_acc: 0.8708, loss_cls: 2.5332, loss: 2.5332 +2024-01-03 15:09:51,742 - pyskl - INFO - Epoch [149][500/3746] lr: 3.821e-05, eta: 1:13:08, time: 0.604, data_time: 0.000, memory: 16177, top1_acc: 0.6780, top5_acc: 0.8739, loss_cls: 2.5063, loss: 2.5063 +2024-01-03 15:10:51,793 - pyskl - INFO - Epoch [149][600/3746] lr: 3.713e-05, eta: 1:12:05, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6723, top5_acc: 0.8725, loss_cls: 2.5198, loss: 2.5198 +2024-01-03 15:11:51,761 - pyskl - INFO - Epoch [149][700/3746] lr: 3.606e-05, eta: 1:11:02, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6669, top5_acc: 0.8794, loss_cls: 2.4989, loss: 2.4989 +2024-01-03 15:12:51,689 - pyskl - INFO - Epoch [149][800/3746] lr: 3.500e-05, eta: 1:09:59, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6780, top5_acc: 0.8795, loss_cls: 2.4786, loss: 2.4786 +2024-01-03 15:13:51,680 - pyskl - INFO - Epoch [149][900/3746] lr: 3.397e-05, eta: 1:08:56, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6678, top5_acc: 0.8723, loss_cls: 2.5235, loss: 2.5235 +2024-01-03 15:14:51,590 - pyskl - INFO - Epoch [149][1000/3746] lr: 3.294e-05, eta: 1:07:53, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6720, top5_acc: 0.8764, loss_cls: 2.4993, loss: 2.4993 +2024-01-03 15:15:52,079 - pyskl - INFO - Epoch [149][1100/3746] lr: 3.194e-05, eta: 1:06:51, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6698, top5_acc: 0.8755, loss_cls: 2.5047, loss: 2.5047 +2024-01-03 15:16:52,151 - pyskl - INFO - Epoch [149][1200/3746] lr: 3.095e-05, eta: 1:05:48, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6695, top5_acc: 0.8719, loss_cls: 2.5078, loss: 2.5078 +2024-01-03 15:17:52,403 - pyskl - INFO - Epoch [149][1300/3746] lr: 2.997e-05, eta: 1:04:45, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6663, top5_acc: 0.8697, loss_cls: 2.5227, loss: 2.5227 +2024-01-03 15:18:52,884 - pyskl - INFO - Epoch [149][1400/3746] lr: 2.901e-05, eta: 1:03:42, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6591, top5_acc: 0.8675, loss_cls: 2.5434, loss: 2.5434 +2024-01-03 15:19:53,228 - pyskl - INFO - Epoch [149][1500/3746] lr: 2.807e-05, eta: 1:02:39, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6698, top5_acc: 0.8666, loss_cls: 2.5209, loss: 2.5209 +2024-01-03 15:20:53,506 - pyskl - INFO - Epoch [149][1600/3746] lr: 2.714e-05, eta: 1:01:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6691, top5_acc: 0.8706, loss_cls: 2.5138, loss: 2.5138 +2024-01-03 15:21:54,007 - pyskl - INFO - Epoch [149][1700/3746] lr: 2.622e-05, eta: 1:00:34, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6634, top5_acc: 0.8678, loss_cls: 2.5434, loss: 2.5434 +2024-01-03 15:22:54,195 - pyskl - INFO - Epoch [149][1800/3746] lr: 2.533e-05, eta: 0:59:31, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6542, top5_acc: 0.8636, loss_cls: 2.5494, loss: 2.5494 +2024-01-03 15:23:54,357 - pyskl - INFO - Epoch [149][1900/3746] lr: 2.444e-05, eta: 0:58:28, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6681, top5_acc: 0.8755, loss_cls: 2.5214, loss: 2.5214 +2024-01-03 15:24:54,679 - pyskl - INFO - Epoch [149][2000/3746] lr: 2.358e-05, eta: 0:57:25, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6714, top5_acc: 0.8717, loss_cls: 2.5053, loss: 2.5053 +2024-01-03 15:25:54,818 - pyskl - INFO - Epoch [149][2100/3746] lr: 2.273e-05, eta: 0:56:23, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6820, top5_acc: 0.8734, loss_cls: 2.5000, loss: 2.5000 +2024-01-03 15:26:55,095 - pyskl - INFO - Epoch [149][2200/3746] lr: 2.189e-05, eta: 0:55:20, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6711, top5_acc: 0.8686, loss_cls: 2.5194, loss: 2.5194 +2024-01-03 15:27:55,718 - pyskl - INFO - Epoch [149][2300/3746] lr: 2.107e-05, eta: 0:54:17, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6784, top5_acc: 0.8777, loss_cls: 2.4788, loss: 2.4788 +2024-01-03 15:28:57,189 - pyskl - INFO - Epoch [149][2400/3746] lr: 2.027e-05, eta: 0:53:14, time: 0.615, data_time: 0.001, memory: 16177, top1_acc: 0.6714, top5_acc: 0.8723, loss_cls: 2.5122, loss: 2.5122 +2024-01-03 15:29:57,958 - pyskl - INFO - Epoch [149][2500/3746] lr: 1.948e-05, eta: 0:52:12, time: 0.608, data_time: 0.000, memory: 16177, top1_acc: 0.6717, top5_acc: 0.8691, loss_cls: 2.5351, loss: 2.5351 +2024-01-03 15:30:58,694 - pyskl - INFO - Epoch [149][2600/3746] lr: 1.871e-05, eta: 0:51:09, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.6689, top5_acc: 0.8744, loss_cls: 2.5140, loss: 2.5140 +2024-01-03 15:31:59,406 - pyskl - INFO - Epoch [149][2700/3746] lr: 1.795e-05, eta: 0:50:06, time: 0.607, data_time: 0.001, memory: 16177, top1_acc: 0.6600, top5_acc: 0.8694, loss_cls: 2.5428, loss: 2.5428 +2024-01-03 15:32:59,911 - pyskl - INFO - Epoch [149][2800/3746] lr: 1.721e-05, eta: 0:49:03, time: 0.605, data_time: 0.001, memory: 16177, top1_acc: 0.6644, top5_acc: 0.8659, loss_cls: 2.5317, loss: 2.5317 +2024-01-03 15:34:00,088 - pyskl - INFO - Epoch [149][2900/3746] lr: 1.649e-05, eta: 0:48:00, time: 0.602, data_time: 0.000, memory: 16177, top1_acc: 0.6591, top5_acc: 0.8661, loss_cls: 2.5594, loss: 2.5594 +2024-01-03 15:35:00,604 - pyskl - INFO - Epoch [149][3000/3746] lr: 1.578e-05, eta: 0:46:58, time: 0.605, data_time: 0.001, memory: 16177, top1_acc: 0.6720, top5_acc: 0.8708, loss_cls: 2.4849, loss: 2.4849 +2024-01-03 15:36:00,938 - pyskl - INFO - Epoch [149][3100/3746] lr: 1.508e-05, eta: 0:45:55, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6694, top5_acc: 0.8684, loss_cls: 2.5178, loss: 2.5178 +2024-01-03 15:37:01,020 - pyskl - INFO - Epoch [149][3200/3746] lr: 1.440e-05, eta: 0:44:52, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6681, top5_acc: 0.8656, loss_cls: 2.5218, loss: 2.5218 +2024-01-03 15:38:00,658 - pyskl - INFO - Epoch [149][3300/3746] lr: 1.374e-05, eta: 0:43:49, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6677, top5_acc: 0.8734, loss_cls: 2.5212, loss: 2.5212 +2024-01-03 15:39:00,583 - pyskl - INFO - Epoch [149][3400/3746] lr: 1.309e-05, eta: 0:42:47, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6716, top5_acc: 0.8702, loss_cls: 2.5151, loss: 2.5151 +2024-01-03 15:40:01,223 - pyskl - INFO - Epoch [149][3500/3746] lr: 1.246e-05, eta: 0:41:44, time: 0.606, data_time: 0.000, memory: 16177, top1_acc: 0.6741, top5_acc: 0.8681, loss_cls: 2.5220, loss: 2.5220 +2024-01-03 15:41:01,944 - pyskl - INFO - Epoch [149][3600/3746] lr: 1.184e-05, eta: 0:40:41, time: 0.607, data_time: 0.000, memory: 16177, top1_acc: 0.6677, top5_acc: 0.8695, loss_cls: 2.5255, loss: 2.5255 +2024-01-03 15:42:03,220 - pyskl - INFO - Epoch [149][3700/3746] lr: 1.124e-05, eta: 0:39:38, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.6684, top5_acc: 0.8712, loss_cls: 2.5333, loss: 2.5333 +2024-01-03 15:42:33,426 - pyskl - INFO - Saving checkpoint at 149 epochs +2024-01-03 15:44:31,339 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 15:44:32,136 - pyskl - INFO - +top1_acc 0.4466 +top5_acc 0.6910 +2024-01-03 15:44:32,136 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 15:44:32,168 - pyskl - INFO - +mean_acc 0.4463 +2024-01-03 15:44:32,174 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_148.pth was removed +2024-01-03 15:44:32,424 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_149.pth. +2024-01-03 15:44:32,425 - pyskl - INFO - Best top1_acc is 0.4466 at 149 epoch. +2024-01-03 15:44:32,434 - pyskl - INFO - Epoch(val) [149][309] top1_acc: 0.4466, top5_acc: 0.6910, mean_class_accuracy: 0.4463 +2024-01-03 15:48:03,547 - pyskl - INFO - Epoch [150][100/3746] lr: 1.039e-05, eta: 0:38:08, time: 2.111, data_time: 1.506, memory: 16177, top1_acc: 0.6717, top5_acc: 0.8758, loss_cls: 2.5081, loss: 2.5081 +2024-01-03 15:49:03,526 - pyskl - INFO - Epoch [150][200/3746] lr: 9.832e-06, eta: 0:37:05, time: 0.600, data_time: 0.001, memory: 16177, top1_acc: 0.6709, top5_acc: 0.8739, loss_cls: 2.5094, loss: 2.5094 +2024-01-03 15:50:03,635 - pyskl - INFO - Epoch [150][300/3746] lr: 9.285e-06, eta: 0:36:03, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6831, top5_acc: 0.8769, loss_cls: 2.4608, loss: 2.4608 +2024-01-03 15:51:03,785 - pyskl - INFO - Epoch [150][400/3746] lr: 8.754e-06, eta: 0:35:00, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6784, top5_acc: 0.8803, loss_cls: 2.4815, loss: 2.4815 +2024-01-03 15:52:04,123 - pyskl - INFO - Epoch [150][500/3746] lr: 8.239e-06, eta: 0:33:57, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6717, top5_acc: 0.8659, loss_cls: 2.5345, loss: 2.5345 +2024-01-03 15:53:04,659 - pyskl - INFO - Epoch [150][600/3746] lr: 7.739e-06, eta: 0:32:54, time: 0.605, data_time: 0.001, memory: 16177, top1_acc: 0.6745, top5_acc: 0.8767, loss_cls: 2.5055, loss: 2.5055 +2024-01-03 15:54:04,805 - pyskl - INFO - Epoch [150][700/3746] lr: 7.255e-06, eta: 0:31:51, time: 0.601, data_time: 0.000, memory: 16177, top1_acc: 0.6673, top5_acc: 0.8727, loss_cls: 2.5236, loss: 2.5236 +2024-01-03 15:55:04,300 - pyskl - INFO - Epoch [150][800/3746] lr: 6.787e-06, eta: 0:30:49, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6722, top5_acc: 0.8725, loss_cls: 2.5149, loss: 2.5149 +2024-01-03 15:56:04,310 - pyskl - INFO - Epoch [150][900/3746] lr: 6.334e-06, eta: 0:29:46, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6733, top5_acc: 0.8816, loss_cls: 2.4820, loss: 2.4820 +2024-01-03 15:57:03,746 - pyskl - INFO - Epoch [150][1000/3746] lr: 5.897e-06, eta: 0:28:43, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6748, top5_acc: 0.8723, loss_cls: 2.5058, loss: 2.5058 +2024-01-03 15:58:03,549 - pyskl - INFO - Epoch [150][1100/3746] lr: 5.475e-06, eta: 0:27:40, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6817, top5_acc: 0.8773, loss_cls: 2.4770, loss: 2.4770 +2024-01-03 15:59:03,887 - pyskl - INFO - Epoch [150][1200/3746] lr: 5.070e-06, eta: 0:26:37, time: 0.603, data_time: 0.000, memory: 16177, top1_acc: 0.6722, top5_acc: 0.8736, loss_cls: 2.5162, loss: 2.5162 +2024-01-03 16:00:05,179 - pyskl - INFO - Epoch [150][1300/3746] lr: 4.679e-06, eta: 0:25:35, time: 0.613, data_time: 0.000, memory: 16177, top1_acc: 0.6647, top5_acc: 0.8712, loss_cls: 2.5042, loss: 2.5042 +2024-01-03 16:01:05,062 - pyskl - INFO - Epoch [150][1400/3746] lr: 4.305e-06, eta: 0:24:32, time: 0.599, data_time: 0.000, memory: 16177, top1_acc: 0.6611, top5_acc: 0.8631, loss_cls: 2.5653, loss: 2.5653 +2024-01-03 16:02:05,042 - pyskl - INFO - Epoch [150][1500/3746] lr: 3.946e-06, eta: 0:23:29, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6589, top5_acc: 0.8683, loss_cls: 2.5432, loss: 2.5432 +2024-01-03 16:03:04,712 - pyskl - INFO - Epoch [150][1600/3746] lr: 3.602e-06, eta: 0:22:26, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6759, top5_acc: 0.8717, loss_cls: 2.4927, loss: 2.4927 +2024-01-03 16:04:04,401 - pyskl - INFO - Epoch [150][1700/3746] lr: 3.275e-06, eta: 0:21:24, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6670, top5_acc: 0.8720, loss_cls: 2.5281, loss: 2.5281 +2024-01-03 16:05:03,928 - pyskl - INFO - Epoch [150][1800/3746] lr: 2.962e-06, eta: 0:20:21, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6714, top5_acc: 0.8761, loss_cls: 2.5071, loss: 2.5071 +2024-01-03 16:06:03,503 - pyskl - INFO - Epoch [150][1900/3746] lr: 2.666e-06, eta: 0:19:18, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6819, top5_acc: 0.8786, loss_cls: 2.4765, loss: 2.4765 +2024-01-03 16:07:02,822 - pyskl - INFO - Epoch [150][2000/3746] lr: 2.385e-06, eta: 0:18:15, time: 0.593, data_time: 0.000, memory: 16177, top1_acc: 0.6647, top5_acc: 0.8705, loss_cls: 2.5191, loss: 2.5191 +2024-01-03 16:08:02,296 - pyskl - INFO - Epoch [150][2100/3746] lr: 2.120e-06, eta: 0:17:12, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6725, top5_acc: 0.8745, loss_cls: 2.4968, loss: 2.4968 +2024-01-03 16:09:01,849 - pyskl - INFO - Epoch [150][2200/3746] lr: 1.870e-06, eta: 0:16:10, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6669, top5_acc: 0.8681, loss_cls: 2.5347, loss: 2.5347 +2024-01-03 16:10:01,426 - pyskl - INFO - Epoch [150][2300/3746] lr: 1.636e-06, eta: 0:15:07, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6650, top5_acc: 0.8612, loss_cls: 2.5500, loss: 2.5500 +2024-01-03 16:11:00,908 - pyskl - INFO - Epoch [150][2400/3746] lr: 1.418e-06, eta: 0:14:04, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6803, top5_acc: 0.8723, loss_cls: 2.5021, loss: 2.5021 +2024-01-03 16:12:00,316 - pyskl - INFO - Epoch [150][2500/3746] lr: 1.215e-06, eta: 0:13:01, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6778, top5_acc: 0.8781, loss_cls: 2.4968, loss: 2.4968 +2024-01-03 16:13:00,327 - pyskl - INFO - Epoch [150][2600/3746] lr: 1.028e-06, eta: 0:11:59, time: 0.600, data_time: 0.000, memory: 16177, top1_acc: 0.6731, top5_acc: 0.8705, loss_cls: 2.5308, loss: 2.5308 +2024-01-03 16:14:00,784 - pyskl - INFO - Epoch [150][2700/3746] lr: 8.567e-07, eta: 0:10:56, time: 0.605, data_time: 0.000, memory: 16177, top1_acc: 0.6675, top5_acc: 0.8658, loss_cls: 2.5354, loss: 2.5354 +2024-01-03 16:15:00,349 - pyskl - INFO - Epoch [150][2800/3746] lr: 7.008e-07, eta: 0:09:53, time: 0.596, data_time: 0.000, memory: 16177, top1_acc: 0.6672, top5_acc: 0.8748, loss_cls: 2.5117, loss: 2.5117 +2024-01-03 16:15:59,876 - pyskl - INFO - Epoch [150][2900/3746] lr: 5.606e-07, eta: 0:08:50, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6706, top5_acc: 0.8758, loss_cls: 2.5106, loss: 2.5106 +2024-01-03 16:16:59,601 - pyskl - INFO - Epoch [150][3000/3746] lr: 4.361e-07, eta: 0:07:48, time: 0.597, data_time: 0.000, memory: 16177, top1_acc: 0.6678, top5_acc: 0.8631, loss_cls: 2.5488, loss: 2.5488 +2024-01-03 16:17:59,133 - pyskl - INFO - Epoch [150][3100/3746] lr: 3.271e-07, eta: 0:06:45, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6766, top5_acc: 0.8766, loss_cls: 2.4814, loss: 2.4814 +2024-01-03 16:18:58,535 - pyskl - INFO - Epoch [150][3200/3746] lr: 2.338e-07, eta: 0:05:42, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6648, top5_acc: 0.8662, loss_cls: 2.5313, loss: 2.5313 +2024-01-03 16:19:58,042 - pyskl - INFO - Epoch [150][3300/3746] lr: 1.561e-07, eta: 0:04:39, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6723, top5_acc: 0.8689, loss_cls: 2.5062, loss: 2.5062 +2024-01-03 16:20:57,540 - pyskl - INFO - Epoch [150][3400/3746] lr: 9.410e-08, eta: 0:03:37, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6717, top5_acc: 0.8695, loss_cls: 2.5217, loss: 2.5217 +2024-01-03 16:21:56,898 - pyskl - INFO - Epoch [150][3500/3746] lr: 4.768e-08, eta: 0:02:34, time: 0.594, data_time: 0.000, memory: 16177, top1_acc: 0.6692, top5_acc: 0.8762, loss_cls: 2.5092, loss: 2.5092 +2024-01-03 16:22:56,384 - pyskl - INFO - Epoch [150][3600/3746] lr: 1.689e-08, eta: 0:01:31, time: 0.595, data_time: 0.000, memory: 16177, top1_acc: 0.6687, top5_acc: 0.8725, loss_cls: 2.5146, loss: 2.5146 +2024-01-03 16:23:56,195 - pyskl - INFO - Epoch [150][3700/3746] lr: 1.726e-09, eta: 0:00:28, time: 0.598, data_time: 0.000, memory: 16177, top1_acc: 0.6745, top5_acc: 0.8772, loss_cls: 2.4900, loss: 2.4900 +2024-01-03 16:24:26,512 - pyskl - INFO - Saving checkpoint at 150 epochs +2024-01-03 16:26:20,638 - pyskl - INFO - Evaluating top_k_accuracy ... +2024-01-03 16:26:21,419 - pyskl - INFO - +top1_acc 0.4472 +top5_acc 0.6909 +2024-01-03 16:26:21,420 - pyskl - INFO - Evaluating mean_class_accuracy ... +2024-01-03 16:26:21,453 - pyskl - INFO - +mean_acc 0.4469 +2024-01-03 16:26:21,458 - pyskl - INFO - The previous best checkpoint /data1/hao.wang/reproducation/hongda.liu/pyskl/work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_149.pth was removed +2024-01-03 16:26:21,734 - pyskl - INFO - Now best checkpoint is saved as best_top1_acc_epoch_150.pth. +2024-01-03 16:26:21,735 - pyskl - INFO - Best top1_acc is 0.4472 at 150 epoch. +2024-01-03 16:26:21,743 - pyskl - INFO - Epoch(val) [150][309] top1_acc: 0.4472, top5_acc: 0.6909, mean_class_accuracy: 0.4469 +2024-01-03 16:26:36,750 - pyskl - INFO - 19743 videos remain after valid thresholding +2024-01-03 16:39:19,908 - pyskl - INFO - Testing results of the last checkpoint +2024-01-03 16:39:19,908 - pyskl - INFO - top1_acc: 0.4586 +2024-01-03 16:39:19,908 - pyskl - INFO - top5_acc: 0.7017 +2024-01-03 16:39:19,908 - pyskl - INFO - mean_class_accuracy: 0.4583 +2024-01-03 16:39:19,909 - pyskl - INFO - load checkpoint from local path: ./work_dirs/test_prototype/k400/k_1/best_top1_acc_epoch_150.pth +2024-01-03 16:52:06,074 - pyskl - INFO - Testing results of the best checkpoint +2024-01-03 16:52:06,074 - pyskl - INFO - top1_acc: 0.4586 +2024-01-03 16:52:06,074 - pyskl - INFO - top5_acc: 0.7017 +2024-01-03 16:52:06,074 - pyskl - INFO - mean_class_accuracy: 0.4583